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Journal articles on the topic '(Relationship of) interpretance'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Fenigsen, Janina, and James Wilce. "Authenticities: A Semiotic Exploration1." Recherches sémiotiques 32, no. 1-2-3 (2014): 103–22. http://dx.doi.org/10.7202/1027774ar.

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Charles Taylor has called ours an “Age of Authenticity”, and authenticity is a popular object of scholarly examination, not least in anthropology. A considerable number of scholars have even proposed models for multiple “authenticities”. None, however, has brought a modified Peircean theoretical tool-kit together with ethnographic evidence that “the natives know” that there are many authenticities. This article seeks to fill that gap. Working with Peirce’s model of the sign and with postmodern theories of originals and replicas, we draw on Wilce’s Finnish fieldwork to analyze what we consider

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Mendes, Thiago Fernando, and Lourdes Maria Werle de Almeida. "Signos interpretantes em atividades de Modelagem Matemática (The interpretant signs produced in mathematical modelling activities)." Revista Eletrônica de Educação 14 (March 3, 2020): 3504064. http://dx.doi.org/10.14244/198271993504.

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In this paper we investigate the interpretant signs production during mathematical modelling activities development. The theoretical framework is based on the relationship between mathematical modelling and some elements of the semiotics structured by Charles Sanders Peirce, more specifically in his interpretant theory. This theoretical framework is associated with an empirical research in which modelling activities are developed by students of a Degree in Mathematics in a differential and integral calculus subject. The analysis of the activities follows qualitative research directions and lea

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Sicoli, Mark A. "Ideophones, rhemes, interpretants." Pragmatics and Society 5, no. 3 (2014): 445–54. http://dx.doi.org/10.1075/ps.5.3.08sic.

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This commentary considers the depictive quality of ideophones within the context of a general semiotic. I seek to expand the limited uptake of iconicity in linguistic theory from a resemblance between sign and object along Peirce’s second trichotomy (icon, index, symbol) to discuss iconicity from the often overlooked perspective of Peirce’s third trichotomy (rheme, dicent, argument). I examine ideophones as semiotic rhemes that affect iconic interpretants and suggest this shift in understanding iconicity unites lexical iconicity with depictive processes in interaction more generally, and beyon

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Melville, James L., and Jonathan D. Hirst. "TMACC: Interpretable Correlation Descriptors for Quantitative Structure−Activity Relationships." Journal of Chemical Information and Modeling 47, no. 2 (2007): 626–34. http://dx.doi.org/10.1021/ci6004178.

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Birchall, Kristian, Valerie J. Gillet, Gavin Harper, and Stephen D. Pickett. "Evolving Interpretable Structure−Activity Relationships. 1. Reduced Graph Queries." Journal of Chemical Information and Modeling 48, no. 8 (2008): 1543–57. http://dx.doi.org/10.1021/ci8000502.

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Silva, Vivian S., André Freitas, and Siegfried Handschuh. "Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7023–30. http://dx.doi.org/10.1609/aaai.v33i01.33017023.

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Recognizing textual entailment is a key task for many semantic applications, such as Question Answering, Text Summarization, and Information Extraction, among others. Entailment scenarios can range from a simple syntactic variation to more complex semantic relationships between pieces of text, but most approaches try a one-size-fits-all solution that usually favors some scenario to the detriment of another. We propose a composite approach for recognizing text entailment which analyzes the entailment pair to decide whether it must be resolved syntactically or semantically. We also make the answ

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Nadaf, Ali, Sebas Eliëns, and Xin Miao. "Interpretable-Machine-Learning Evidence for Importance and Optimum of Learning Time." International Journal of Information and Education Technology 11, no. 10 (2021): 444–49. http://dx.doi.org/10.18178/ijiet.2021.11.10.1548.

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This study uses a machine learning technique, a boosted tree model, to relate the student cognitive achievement in the 2018 data from the Programme of International Student Assessment (PISA) to other features related to the student learning process, capturing the complex and nonlinear relationships in the data. The SHapley Additive exPlanations (SHAP) approach is subsequently used to explain the complexity of the model. It reveals the relative importance of each of the features in predicting cognitive achievement. We find that instruction time comes out as an important predictor, but with a no

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Rohr, David. "God the Object, Sign, and Interpretant." Philosophy and Theology 31, no. 1 (2019): 97–119. http://dx.doi.org/10.5840/philtheol2020621130.

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The central thesis of this essay is that the relation imagined to hold between the Father, Son, and Holy Spirit corresponds quite closely with the triadic relationship that holds between object, sign, and interpretant, respectively, within C. S. Peirce’s conception of semiosis. Section 1 introduces Peirce’s conception of semiosis. Section 2 supports the main thesis through examination of descriptions of the Trinitarian relations in two classic Christian texts: The New Testament and The Catechism of the Catholic Church. Section 3 reviews two alternative explanations of this surprising correlati

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Munkhdalai, Lkhagvadorj, Keun Ho Ryu, Oyun-Erdene Namsrai, and Nipon Theera-Umpon. "A Partially Interpretable Adaptive Softmax Regression for Credit Scoring." Applied Sciences 11, no. 7 (2021): 3227. http://dx.doi.org/10.3390/app11073227.

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Credit scoring is a process of determining whether a borrower is successful or unsuccessful in repaying a loan using borrowers’ qualitative and quantitative characteristics. In recent years, machine learning algorithms have become widely studied in the development of credit scoring models. Although efficiently classifying good and bad borrowers is a core objective of the credit scoring model, there is still a need for the model that can explain the relationship between input and output. In this work, we propose a novel partially interpretable adaptive softmax (PIA-Soft) regression model to ach

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Keefer, Christopher E., Gregory W. Kauffman, and Rishi Raj Gupta. "Interpretable, Probability-Based Confidence Metric for Continuous Quantitative Structure–Activity Relationship Models." Journal of Chemical Information and Modeling 53, no. 2 (2013): 368–83. http://dx.doi.org/10.1021/ci300554t.

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11

Furnham, Adrian. "Relationship between Knowledge of and Attitudes towards Aids." Psychological Reports 71, no. 3_suppl (1992): 1149–50. http://dx.doi.org/10.2466/pr0.1992.71.3f.1149.

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202 subjects completed a questionnaire concerning their knowledge of and attitudes towards AIDS. The knowledge questionnaire had three sections, general knowledge, knowledge of spread and symptoms. Intercorrelations of the sections of the attitudinal measure were factor analysed, and five interpretable factors identified. As in two previously reported studies the correlations among the three knowledge and five attitudinal factors were low and nonsignificant. Implications for health education and attitude change are considered.

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Hagerty, C. G., and F. A. Sonnenberg. "Computer-Interpretable Clinical Practice Guidelines." Yearbook of Medical Informatics 15, no. 01 (2006): 145–58. http://dx.doi.org/10.1055/s-0038-1638486.

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SummaryTo provide a comprehensive overview of computerinterpretable guideline (CIG) systems aimed at non-experts. The overview includes the history of efforts to develop CIGs, features of and relationships among current major CIG systems, current status of standards developments pertinent to CIGs and identification of unsolved problems and needs for future researchLiterature re view based on PubMed, AMIA conference proceedings and key references from publications identified. Search terms included practice guidelines, decision support, controlled vocabulary and medical record systems. Papers we

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13

Robinson, R. "Konflik, representasie, interpretasie – die waarheid gelieg." Literator 23, no. 1 (2002): 19–36. http://dx.doi.org/10.4102/lit.v23i1.318.

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Conflict, representation, interpretation – the truth lied The poetic concept “taalskadeloosstelling” (disempowerment of speech) in a poem by T.T. Cloete can be related to a poetic procédè in another of his poems, namely “Foto Boerevegters” from the volume Driepas (1989: 111). In this poem the relativity of conflict is a main theme. The telescoping of contexts and perspectives reveals more fundamental conflicts than the superficial theme of a specified historical conflict. A framed representation (a photograph) of a political event represents a retrogressive perspective that presupposes a more

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Ibri, Ivo Assad. "The semiotic resilient mind: conflictual and agapic relationship between logical and emotional interpretants." Cognitio: Revista de Filosofia 20, no. 2 (2020): 378–91. http://dx.doi.org/10.23925/2316-5278.2019v20i2p378-391.

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Por mente resiliente, quero dizer a capacidade de toda mente de lidar com a dureza da alteridade, que exige um esforço contínuo para permitir o desenvolvimento de hábitos de conduta. O predicado da resiliência vem da capacidade da mente de se autocorrigir, cada vez que esses hábitos perdem sua eficiência mediativa, exigindo, portanto, a reconstrução de novas mediações cognitivas como hábitos de ação. Neste artigo, proponho refletir sobre o conjunto de interpretantes semióticos proposto por Peirce com o objetivo de explorar sua faceta habitual. Com esta linha de análise, pretendo mostrar que a

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Nicolotti, Orazio, Valerie J. Gillet, Peter J. Fleming, and Darren V. S. Green. "Multiobjective Optimization in Quantitative Structure−Activity Relationships: Deriving Accurate and Interpretable QSARs." Journal of Medicinal Chemistry 45, no. 23 (2002): 5069–80. http://dx.doi.org/10.1021/jm020919o.

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Liu, Shusen, Rushil Anirudh, Jayaraman J. Thiagarajan, and Peer-Timo Bremer. "Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections." Machine Learning: Science and Technology 1, no. 4 (2020): 045016. http://dx.doi.org/10.1088/2632-2153/abab60.

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Ghosh, Debarchana, and Rajarshi Guha. "Using a neural network for mining interpretable relationships of West Nile risk factors." Social Science & Medicine 72, no. 3 (2011): 418–29. http://dx.doi.org/10.1016/j.socscimed.2010.09.014.

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Birchall, Kristian, Valerie J. Gillet, Gavin Harper, and Stephen D. Pickett. "Evolving Interpretable Structure−Activity Relationship Models. 2. Using Multiobjective Optimization To Derive Multiple Models." Journal of Chemical Information and Modeling 48, no. 8 (2008): 1558–70. http://dx.doi.org/10.1021/ci800051h.

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Chi, Cheng-Ting, Ming-Han Lee, Ching-Feng Weng, and Max K. Leong. "In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach." International Journal of Molecular Sciences 20, no. 13 (2019): 3170. http://dx.doi.org/10.3390/ijms20133170.

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Oral administration is the preferred and predominant route of choice for medication. As such, drug absorption is one of critical drug metabolism and pharmacokinetics (DM/PK) parameters that should be taken into consideration in the process of drug discovery and development. The cell-free in vitro parallel artificial membrane permeability assay (PAMPA) has been adopted as the primary screening to assess the passive diffusion of compounds in the practical applications. A classical quantitative structure–activity relationship (QSAR) model and a machine learning (ML)-based QSAR model were derived

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Wawer, Mathias J., David E. Jaramillo, Vlado Dančík, et al. "Automated Structure–Activity Relationship Mining." Journal of Biomolecular Screening 19, no. 5 (2014): 738–48. http://dx.doi.org/10.1177/1087057114530783.

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Understanding the structure–activity relationships (SARs) of small molecules is important for developing probes and novel therapeutic agents in chemical biology and drug discovery. Increasingly, multiplexed small-molecule profiling assays allow simultaneous measurement of many biological response parameters for the same compound (e.g., expression levels for many genes or binding constants against many proteins). Although such methods promise to capture SARs with high granularity, few computational methods are available to support SAR analyses of high-dimensional compound activity profiles. Man

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Takama, Yasufumi, Hiroki Shibata, and Yuya Shiraishi. "Matrix-Based Collaborative Filtering Employing Personal Values-Based Modeling and Model Relationship Learning." Journal of Advanced Computational Intelligence and Intelligent Informatics 24, no. 6 (2020): 719–27. http://dx.doi.org/10.20965/jaciii.2020.p0719.

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This paper proposes a matrix-based collaborative filtering (CF) employing personal values (MCFPV). Introduction of various factors such as diversity and long-tailedness in addition to accuracy is a recent trend in the study of recommender systems. We think recommending acceptable items while satisfying users’ preference is important when considering other factors than accuracy. Also, interpretability is one of important characteristics recommender systems should have. To recommend acceptable items on the basis of an interpretable mechanism, this paper proposes a matrix-based recommendation met

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Toms, Benjamin A., Karthik Kashinath, and Da Yang. "Testing the reliability of interpretable neural networks in geoscience using the Madden–Julian oscillation." Geoscientific Model Development 14, no. 7 (2021): 4495–508. http://dx.doi.org/10.5194/gmd-14-4495-2021.

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Abstract. We test the reliability of two neural network interpretation techniques, backward optimization and layerwise relevance propagation, within geoscientific applications by applying them to a commonly studied geophysical phenomenon, the Madden–Julian oscillation. The Madden–Julian oscillation is a multi-scale pattern within the tropical atmosphere that has been extensively studied over the past decades, which makes it an ideal test case to ensure the interpretability methods can recover the current state of knowledge regarding its spatial structure. The neural networks can, indeed, repro

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Pang, Siu-Kwong. "Discovery of a Statistically Significant and Interpretable Relationship Between Redox Reactivity and Lethality of Drugs." Current Drug Metabolism 14, no. 7 (2013): 738–44. http://dx.doi.org/10.2174/13892002113149990098.

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Gou, Wanglong, Chu-Wen Ling, Yan He, et al. "Interpretable Machine Learning Algorithm Reveals Novel Gut Microbiome Features in Predicting Type 2 Diabetes." Current Developments in Nutrition 4, Supplement_2 (2020): 1559. http://dx.doi.org/10.1093/cdn/nzaa062_016.

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Abstract Objectives The gut microbiome-type 2 diabetes (T2D) relationship among human cohorts have been controversial. We hypothesized that this limitation could be addressed by integrating the cutting-edge interpretable machine learning framework and large-scale human cohort studies. Methods 3 independent cohorts with &gt;9000 participants were included in this study. We proposed a new machine learning-based analytic framework — using LightGBM to infer the relationship between incorporated features and T2D, and SHapley Additive explanation(SHAP) to identified microbiome features associate

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He, Sijie, Xinyan Li, Vidyashankar Sivakumar, and Arindam Banerjee. "Interpretable Predictive Modeling for Climate Variables with Weighted Lasso." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1385–92. http://dx.doi.org/10.1609/aaai.v33i01.33011385.

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An important family of problems in climate science focus on finding predictive relationships between various climate variables. In this paper, we consider the problem of predicting monthly deseasonalized land temperature at different locations worldwide based on sea surface temperature (SST). Contrary to popular belief on the trade-off between (a) simple interpretable but inaccurate models and (b) complex accurate but uninterpretable models, we introduce a weighted Lasso model for the problem which yields interpretable results while being highly accurate. Covariate weights in the regularizatio

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Farjami, Hadi, and Ehsan Kazemi. "Relationship between Teacher Autonomy and Teacher’s Sense of Self -Efficacy." Global Journal of Foreign Language Teaching 8, no. 1 (2018): 01–10. http://dx.doi.org/10.18844/gjflt.v8i1.3089.

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The present study is an attempt to investigate the relationship between teacher autonomy and teacher’s sense of self-efficacy. To carry out this study, 100 EFL teachers (male and female) who taught in English institutes participated voluntarily. The researchers employed a couple of self-reported questionnaires, teacher autonomy scale (TAS) and Teachers’ Sense of Efficacy Scale which measures the individual sense of self efficacy. The two questionnaires were administered to 100 teachers. After gathering the raw data from the questionnaires, the SPSS software was employed to have some statistica

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Mancuso, Christopher A., Jacob L. Canfield, Deepak Singla, and Arjun Krishnan. "A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes." Nucleic Acids Research 48, no. 21 (2020): e125-e125. http://dx.doi.org/10.1093/nar/gkaa881.

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Abstract While there are &gt;2 million publicly-available human microarray gene-expression profiles, these profiles were measured using a variety of platforms that each cover a pre-defined, limited set of genes. Therefore, key to reanalyzing and integrating this massive data collection are methods that can computationally reconstitute the complete transcriptome in partially-measured microarray samples by imputing the expression of unmeasured genes. Current state-of-the-art imputation methods are tailored to samples from a specific platform and rely on gene-gene relationships regardless of

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Botha, P. J. "Die konsep van eer as sleutel tot die interpretasie van Psalm 133." Verbum et Ecclesia 19, no. 1 (1998): 1–10. http://dx.doi.org/10.4102/ve.v19i1.1149.

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The concept of honour as a key to the interpretation of Psalm 133 Despite the fact that its text is quite straightforward, the imagery of Psalm 133, combined with its brevity, poses some interpretational problems. In this paper it is proposed that consideration of the role played by the societal core value of honour in Israel can throw some light on the questions about the relationship between and the combined meaning of images such as that of brothers living together, oil running down from the beard of Aaron, and Yahweh’s commanding of blessing from Zion.

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Fischer, Christoph, and Egbert Schönfelder. "A modified growth function with interpretable parameters applied to the age–height relationship of individual trees." Canadian Journal of Forest Research 47, no. 2 (2017): 166–73. http://dx.doi.org/10.1139/cjfr-2016-0317.

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Growth functions frequently used in forestry have in common that among the model parameters to be estimated, only the asymptote is expressed in the dimensions of the input data. By contrast, parameters determining rate and shape of the curve often exhibit indefinite scales. This might cause problems in specifying adequate starting values and in parameter interpretation. We present a mathematical derivation to obtain a modified growth function based on the four-parameter Richards function. Two of the rate and shape parameters were replaced by new parameters directly related to the growth proces

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Wilson, Philip, and Robert C. Eklund. "The Relationship between Competitive Anxiety and Self-Presentational Concerns." Journal of Sport and Exercise Psychology 20, no. 1 (1998): 81–97. http://dx.doi.org/10.1123/jsep.20.1.81.

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The purpose of this investigation was to examine Leary’s (1992) contention that competitive anxiety revolves around the self-presentational implications of sport competition. Intercollegiate athletes (N = 199) completed inventories assessing competitive trait anxiety and self-presentational concerns. Principal-axis factor analysis with direct oblim rotation of self-presentational concern items produced an interpretable four-factor solution accounting for 62% of the variance. These factors were interpreted to represent self-presentational concerns about Performance/Composure Inadequacies, Appea

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Zhu, Congcong, Hao Liu*(corresponding author), Zhenhua Yu, and Xuehong Sun. "Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 13090–97. http://dx.doi.org/10.1609/aaai.v34i07.7011.

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In this paper, we propose a spatial-temporal relational reasoning networks (STRRN) approach to investigate the problem of omni-supervised face alignment in videos. Unlike existing fully supervised methods which rely on numerous annotations by hand, our learner exploits large scale unlabeled videos plus available labeled data to generate auxiliary plausible training annotations. Motivated by the fact that neighbouring facial landmarks are usually correlated and coherent across consecutive frames, our approach automatically reasons about discriminative spatial-temporal relationships among landma

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Liu, Pengfei, Jie Fu, Yue Dong, Xipeng Qiu, and Jackie Chi Kit Cheung. "Learning Multi-Task Communication with Message Passing for Sequence Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4360–67. http://dx.doi.org/10.1609/aaai.v33i01.33014360.

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We present two architectures for multi-task learning with neural sequence models. Our approach allows the relationships between different tasks to be learned dynamically, rather than using an ad-hoc pre-defined structure as in previous work. We adopt the idea from message-passing graph neural networks, and propose a general graph multi-task learning framework in which different tasks can communicate with each other in an effective and interpretable way. We conduct extensive experiments in text classification and sequence labelling to evaluate our approach on multi-task learning and transfer le

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Yamamoto, Kosuke, Tomohiro Yoshikawa, and Takeshi Furuhashi. "A Proposal of Visualization Method for Interpretable Fuzzy Model on Fusion Axes." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 1 (2006): 121–31. http://dx.doi.org/10.20965/jaciii.2006.p0121.

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Interpretability of fuzzy models has become one of the major topics in the field of fuzzy modeling. Visualization that makes input-output relationships interpretable is effective in extracting useful knowledge from unknown data. This paper presents visualization method that considers the visibility of fuzzy models. This method identifies clusters that have different statistical features, and projects the data to the “fusion axes”, which are linear combinations of the multiple input variables, considering the distribution of each cluster in the projected space. This paper applies the proposed m

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Correa Uribe, Jorge Enrique. "Anguish neurosis today." International Journal of Psychological Research 1, no. 2 (2008): 73–80. http://dx.doi.org/10.21500/20112084.927.

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The anguish neurosis, as a concept and clinical nosological category, is strictly Freudian, and was born in the field of psychoanalysis. It surges in opposition to the concept of psychoneurosis, and for that reason, their symptoms are not interpretable and to that extent, they are not affordable by psychoanalysis. But despite that, the anguish neurosis retains all its value, while its symptoms are particular applications of libido and require a revision of this notion in light of new psychoanalytical research. It also contributes to an understanding of the formation of symptoms in hysteria and

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Kinney, Justin B., and David M. McCandlish. "Massively Parallel Assays and Quantitative Sequence–Function Relationships." Annual Review of Genomics and Human Genetics 20, no. 1 (2019): 99–127. http://dx.doi.org/10.1146/annurev-genom-083118-014845.

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Over the last decade, a rich variety of massively parallel assays have revolutionized our understanding of how biological sequences encode quantitative molecular phenotypes. These assays include deep mutational scanning, high-throughput SELEX, and massively parallel reporter assays. Here, we review these experimental methods and how the data they produce can be used to quantitatively model sequence–function relationships. In doing so, we touch on a diverse range of topics, including the identification of clinically relevant genomic variants, the modeling of transcription factor binding to DNA,

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Tepavac, Dejan, and Edelle Carmen Field-Fote. "Vector Coding: A Technique for Quantification of Intersegmental Coupling in Multicyclic Behaviors." Journal of Applied Biomechanics 17, no. 3 (2001): 259–70. http://dx.doi.org/10.1123/jab.17.3.259.

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The evaluation of a vector coding technique to quantify intersegmental coupling within a limb over multiple cycles of walking is described. The angular position of the knee with respect to the hip during walking was examined based on relative motion plots generated from videographic data. Participants included one able-bodied individual and one with spinal cord injury; the latter was assessed before and after participating in an assisted walking program. Vector coding of the frame-to-frame changes in hip/knee relationship was used to quantify the relative motion plots. Vector analysis techniqu

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Csapo, Adam, and Péter Baranyi. "The Spiral Discovery Method: An Interpretable Tuning Model for CogInfoCom Channels." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (2012): 358–67. http://dx.doi.org/10.20965/jaciii.2012.p0358.

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Cognitive Infocommunications (CogInfoCom) messages that are used to carry information on the state of the same high-level concept can be regarded as belonging to a CogInfoCom channel. Such channels can be generated using any kind of parametric model. By changing the values of the parameters, it is possible to arrive at a large variety of CogInfoCom messages, a subset of which can belong to a CogInfoCom channel – provided they are perceptually well-suited to the purpose of conveying information on the same highlevel concept. Thus, for any CogInfoCom channel, we may speak of a parameter space an

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Kaplan, Steven E., Annemarie K. Keinath, and Judith C. Walo. "An Examination of Perceived Barriers to Mentoring in Public Accounting." Behavioral Research in Accounting 13, no. 1 (2001): 195–220. http://dx.doi.org/10.2308/bria.2001.13.1.195.

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While both mentoring and peer relationships exist among some auditors in public accounting, little is known about these relationships. The purpose of this paper is to provide evidence on perceived barriers to mentoring and peer relationships in public accounting. Analysis of responses indicated three interpretable factors representing barriers to forming mentoring relationships. First, participants without a mentor perceived greater barriers from access to mentors and from willingness of the mentor. Gender differences were significant in all three factors. Partners perceived barriers from acce

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Wolfe, David A., and Robin McGee. "Dimensions of child maltreatment and their relationship to adolescent adjustment." Development and Psychopathology 6, no. 1 (1994): 165–81. http://dx.doi.org/10.1017/s0954579400005939.

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AbstractResearch in the broad area of child maltreatment has investigated the effects of these phenomena globally and without much attempt to distinguish the nature and extent of such experiences. This study sought to examine the underlying structure of child maltreatment and relate this structure to current adolescent adjustment. A principal components analysis was conducted with 162 adolescents who had backgrounds of child maltreatment, using a comprehensive measure of such experiences at two developmental time periods (birth to 6 years, and 7–12 years). This analysis resulted in interpretab

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Talebzadeh, Hossein, and Leila Gholami. "The Relationship between English Pronunciation Self-Concept and English Learning." International Letters of Social and Humanistic Sciences 60 (September 2015): 54–59. http://dx.doi.org/10.18052/www.scipress.com/ilshs.60.54.

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English pronunciation self-concept refers to self-evaluation of a person’s English pronunciation proficiency which is shaped during the time spent for pronunciation learning (Gimson, 1980). The present paper aims at investigating the possible correlation between English pronunciation self-concept and English language learning. Furthermore, the relationship between global English self-concept and classroom anxieties are examined in the Iranian context. To this end, Xiuquan zhu’s (2005) questionnaire was administrated to the total of 100 English as a foreign language (EFL) students. Moreover, to

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Gaskell, P. H. "Relationships between the medium-range structure of glasses and crystals." Mineralogical Magazine 64, no. 3 (2000): 425–34. http://dx.doi.org/10.1180/002646100549481.

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AbstractThe known structure of a crystalline phase is almost always useful in investigating the unknown structure of the compositionally equivalent glass. For the local environment around elements like Si, B and P, the correspondence between site geometry and symmetry can be impressively close. Beyond near neighbours, any relationship becomes less obvious – at least in real-space data. Progress in understanding the medium-range structures of glasses has been painfully slow as a result. One essential clue is given by reciprocal-space features at low Q (scattering vector) in X-ray or neutron sca

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Tischner, Łukasz. "INTERPRETACJE. Popędy i metafizyka O Przygodach Witolda Gombrowicza / Drives and Meta Physics Witold Gombrowicz’s Adventures." Ruch Literacki 54, no. 1 (2013): 79–90. http://dx.doi.org/10.2478/v10273-012-0056-5.

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Summary This interpretation of Witold Gombrowicz’s Adventures tries to throw light on the foundations of its author’s artistic imagination. It is important in so far as each new addition to Gombrowicz’s oeuvre can be regarded as an attempt to recover the grounds of the ‘Time of Immaturity’, the starting point of his literary quest. Adventures, which is one of the stories of the Memoirs from a Time of Immaturity, can be classified as a fable about omnipotence. Following Andrzej Kijowski, the author of this article re-examines the double code used in this story: it can be read within the framewo

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Shi, Hui. "The Theoretical Interpretation of EFL Teacher’s Professional Development from the Perspective of Sociocultural Theory." Theory and Practice in Language Studies 7, no. 11 (2017): 10591064. http://dx.doi.org/10.17507/tpls.0711.14.

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The sociocultural theory offers a theoretical and methodological ways to explore the relationship between the macro-structure of sociocultural model and the micro-structure of individual context of EFL (English as a foreign language)teachers. It provides a unique perspective to investigate the dialogic processes on the construction of EFL teachers’ professional development. Thus, the article focuses on the four core concepts of sociocultural theory that mediation, internalization, the zone of proximal development and activity theory to interpretate the EFL teachers’ professional development.

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Kim, Eui-Jin. "Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach." Journal of Advanced Transportation 2021 (March 1, 2021): 1–13. http://dx.doi.org/10.1155/2021/6685004.

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Understanding choice behavior regarding travel mode is essential in forecasting travel demand. Machine learning (ML) approaches have been proposed to model mode choice behavior, and their usefulness for predicting performance has been reported. However, due to the black-box nature of ML, it is difficult to determine a suitable explanation for the relationship between the input and output variables. This paper proposes an interpretable ML approach to improve the interpretability (i.e., the degree of understanding the cause of decisions) of ML concerning travel mode choice modeling. This approac

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Vicario, A., L. I. Mazón, A. Aguirre, A. Estomba, and C. Lostao. "Relationships between environmental factors and morph polymorphism in Cepaea nemoralis, using canonical correlation analysis." Genome 32, no. 5 (1989): 908–12. http://dx.doi.org/10.1139/g89-528.

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The relationship between phenotype distribution of Cepaea nemoralis and environmental factors was investigated at 105 sites in northern Spain, using canonical correlation analysis. Two interpretable canonical correlations were identified between the phenotype and environmental variable groups at the 0.05 level of significance, and canonical loadings were determined for each set of variables. The first canonical correlation represents the association of unbanded phenotypes with rainy and cloudy sites and of the more banded phenotypes (five banded and fused bands) with high degrees of insolation

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Jeřábek, Emil. "Recursive functions and existentially closed structures." Journal of Mathematical Logic 20, no. 01 (2019): 2050002. http://dx.doi.org/10.1142/s0219061320500026.

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The purpose of this paper is to clarify the relationship between various conditions implying essential undecidability: our main result is that there exists a theory [Formula: see text] in which all partially recursive functions are representable, yet [Formula: see text] does not interpret Robinson’s theory [Formula: see text]. To this end, we borrow tools from model theory — specifically, we investigate model-theoretic properties of the model completion of the empty theory in a language with function symbols. We obtain a certain characterization of [Formula: see text] theories interpretable in

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Gholami, Leila. "Teacher Self-Efficacy and Teacher Burnout: A Study of Relations." International Letters of Social and Humanistic Sciences 60 (September 2015): 83–86. http://dx.doi.org/10.18052/www.scipress.com/ilshs.60.83.

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In any teaching and learning setting, there are some variables that play a highly significant role in both teachers’ and learners’ performance. Two of these influential psychological domains in educational context include self-efficacy and burnout. This study is conducted to investigate the relationship between the self-efficacy of Iranian teachers of English and their reports of burnout. The data was collected through application of two questionnaires. The Maslach Burnout Inventory (MBI; Maslach& Jackson 1981, 1986) and Teacher Efficacy Scales (Woolfolk& Hoy, 1990) were administered t

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Dreher, Jan, Josef Scheiber, Nikolaus Stiefl, and Knut Baumann. "xMaP—An Interpretable Alignment-Free Four-Dimensional Quantitative Structure–Activity Relationship Technique Based on Molecular Surface Properties and Conformer Ensembles." Journal of Chemical Information and Modeling 58, no. 1 (2018): 165–81. http://dx.doi.org/10.1021/acs.jcim.7b00419.

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Weitz, Katharina, Teena Hassan, Ute Schmid, and Jens-Uwe Garbas. "Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods." tm - Technisches Messen 86, no. 7-8 (2019): 404–12. http://dx.doi.org/10.1515/teme-2019-0024.

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AbstractDeep neural networks are successfully used for object and face recognition in images and videos. In order to be able to apply such networks in practice, for example in hospitals as a pain recognition tool, the current procedures are only suitable to a limited extent. The advantage of deep neural methods is that they can learn complex non-linear relationships between raw data and target classes without limiting themselves to a set of hand-crafted features provided by humans. However, the disadvantage is that due to the complexity of these networks, it is not possible to interpret the kn

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Shelton, Andrew O., Stephan B. Munch, David Keith, and Marc Mangel. "Maternal age, fecundity, egg quality, and recruitment: linking stock structure to recruitment using an age-structured Ricker model." Canadian Journal of Fisheries and Aquatic Sciences 69, no. 10 (2012): 1631–41. http://dx.doi.org/10.1139/f2012-082.

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Understanding the process of recruitment is fundamental to fisheries biology and management. However, recruitment in natural populations is highly variable and rarely well described by classical stock–recruitment relationships (SRRs). Recent analyses suggest that the age composition of the spawning biomass may play an important role in the mismatch between SRRs and data. Here we develop a generalization of the Ricker SRR that incorporates age structure by allowing mortality and fecundity rates to depend on maternal age. We provide a flexible SRR with biologically interpretable parameters that

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