Relevant bibliographies by topics / (Relationship of) interpretance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic '(Relationship of) interpretance'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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

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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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Dissertations / Theses on the topic "(Relationship of) interpretance"

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Rosário, Heloisa Monteiro. "Um périplo benvenistiano : o semiólogo e a semiologia da língua." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/183004.

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Se a publicação dos dois volumes dos Problemas de linguística geral de Émile Benveniste (1966; 1974) se configura em um marco para os estudos enunciativos, a publicação de suas Últimas aulas no Collège de France (1968 e 1969) (2012) – obra estabelecida geneticamente por Jean-Claude Coquet e Irène Fenoglio a partir de manuscritos do linguista e de seus ouvintes – marca, por sua vez, uma volta à discussão de sua reflexão semiológica. Reflexão formulada por Benveniste no decorrer dos anos 60 e apresentada, sobretudo, em seu artigo “Semiologia da língua” (1969/1974). Nessa perspectiva, no presente
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Štěpánová, Petra. "Virtuální smrt v počítačových hrách." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-322014.

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The topic of this thesis is virtual death in video games. In theoretical part, the concept of avatar (player's agent in the game world) is defined, concerning the relationship between player and avatar as well as the main characteristics of the avatar. The aim of the theoretical core of this thesis is to introduce virtual death; because of various expressions of death in many games, it is difficult to describe virtual death generally. Virtual death, which is compared also to the real death, is revealed as a communication of player's failure. What can not be separated from virtual death is the
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Abraham, Vojtěch. "Palynologická syntéza pro Českou republiku." Doctoral thesis, 2015. http://www.nusl.cz/ntk/nusl-336183.

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The aim is to gather pollen sequences and derive from them synthetic information on past species distribution and Holocene vegetation history. Lonicera nigra was selected as a model taxa. The phylogeographic hypothesis that its Alpine and Carpathian populations survived the LGM in separate refugia is supported only by the Late-Glacial record. This shrub migrated rapidly from southern to central Europe during the warm oscilations of the Late Glacial. The synthesis of vegetation history was produced by applying the REVEALS model, which can filter out following factors influencing the relationshi
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Book chapters on the topic "(Relationship of) interpretance"

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Qiu, Waishan, Wenjing Li, Xun Liu, and Xiaokai Huang. "Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning." In Proceedings of the 2021 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_23.

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AbstractRecently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
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Seligman, Adam B., and Robert P. Weller. "Sign, Ground, and Interpretant." In How Things Count as the Same. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190888718.003.0008.

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This chapter begins by elaborating on the relationships among what Peirce called sign, object, and interpretant. It goes on to explore how memory, mimesis, and metaphor form the ground for these relationships, and in the process transform people’s understandings of themselves in the world, sometimes with enormous consequences. The chapter achieves this by analyzing aspects of the Protestant Reformation in the sixteenth and seventeenth centuries, China’s cataclysmic Taiping Rebellion in the nineteenth century, reworked temples to a goddess in contemporary Taiwan and mainland China, and memorials to the Holocaust in Vienna and Jerusalem.
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Asuncion L. Magsino, Maria. "A Biosemiotic Modeling of the Body-“Self” Synechism." In Mind and Matter - Challenges and Opportunities in Cognitive Semiotics and Aesthetics [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100037.

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As a counterargument to the Cartesian split that has impacted both speculative and practical fields of knowledge and culture, we propose Peirce’s doctrine of synechism to show the continuity in the semiotic activity that moves from the body as an Interpretant to the emergence of another Interpretant called the “self.” Biosemiotics, a nascent field of interdisciplinary research that tackles inquiries about signs, communication, and information involving living organisms is used as the framework in the discussion. The main question of whether a non-material “self” can emerge from a material body is tackled in many stages. First, the biosemiotic continuum is established in the natural biological processes that takes place in the body. These processes can be taken as an autonomous semiotic system generating the “language” of the body or the Primary Modeling System (PMS). Second, synechism is also observed in the relationship between the mind and the body and this is evident in any physician’s clinical practice. The patient creates a Secondary Modeling System (SMS) of how she perceives what the body communicates to her regarding its state or condition. Finally, the question about whether the emergence of “self” is synechistic as well is tackled. There is one organ from which emerges an Interpretant that is capable of generating a dialog between a Subject, that is the “self,” with its Object, and that is the brain. It is the primordial seat of specifically human activities like thought and language. The recent theory on quantum consciousness supports the doctrine synechism between the body as Interpretant to the “self” as Interpretant. This synechism is crucial for the creation of Secondary Models of “reality” that will, in turn, determine the creation of Tertiary Models more familiarly called culture.
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Underwood, Fox, and Stefania Bertazzon. "A Comparison of Principal Component-Based and Multivariate Regression of Cardiac Disease." In Geographic Information Analysis for Sustainable Development and Economic Planning. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1924-1.ch003.

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Selecting factors suitable to use in a regression model is often a complicated process: the researcher strives to retain all theoretically important factors while avoiding high correlations among independent variables. This chapter models cardiac disease and compares the explanatory ability of component-based multivariate regression models, created through the use of principal component analysis (PCA), with that of direct variable-based, multivariate regression models. The variable-based demographic and socio-economic model contains education, sex, and 3 age factors; in contrast, the component-based model contains age as well as several modifiable risk factors: education, income, family, and housing factors. Moreover, the latter model also has statistically higher explanatory power. Components made through data reduction techniques may not always be interpretable, but, given closer examination of individual components, a component-based model becomes more interpretable. Further, all important factors will potentially be present in models. As such, component-based modelling can be a useful tool for research and public health planning. A key limitation of this work, to be addressed in future research, is the use of a variable (cardiac catheterisation procedures) that remains a crude proxy for cardiovascular disease. More effective analysis will be performed as data becomes available. Exploration into the relationship of factor and their spatial patterns will also be considered.
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Barclay, Katie. "Independence, Affection and Mobility in Eighteenth-Century Scotland." In Keeping Family in an Age of Long Distance Trade, Imperial Expansion, and Exile, 1550-1850. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463722315_ch05.

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If early modern marriage was often imagined as centred on a household, some families were mobile. This was particularly the case for travelling salespeople and chapmen and women (pedlars) who moved across Europe to sell their wares. This Chapter focuses on two Scottish families – a married couple, and a couple and their adopted child – to explore how family, emotion and gender relationships were shaped when couples did not form a stable place of belonging but instead produced family in relation to landladies, networks of hospitality, and travel. It argues that families sought to explain their connection as an intimacy produced through an engagement between independent actors, but which still sought to be interpretable under the strictures of patriarchy.
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Saigo, Hiroto, and Koji Tsuda. "Graph Mining in Chemoinformatics." In Chemoinformatics and Advanced Machine Learning Perspectives. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-911-8.ch006.

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In standard QSAR (Quantitative Structure Activity Relationship) approaches, chemical compounds are represented as a set of physicochemical property descriptors, which are then used as numerical features for classification or regression. However, standard descriptors such as structural keys and fingerprints are not comprehensive enough in many cases. Since chemical compounds are naturally represented as attributed graphs, graph mining techniques allow us to create subgraph patterns (i.e., structural motifs) that can be used as additional descriptors. In this chapter, the authors present theoretically motivated QSAR algorithms that can automatically identify informative subgraph patterns. A graph mining subroutine is embedded in the mother algorithm and it is called repeatedly to collect patterns progressively. The authors present three variations that build on support vector machines (SVM), partial least squares regression (PLS) and least angle regression (LARS). In comparison to graph kernels, our methods are more interpretable, thereby allows chemists to identify salient subgraph features to improve the druglikeliness of lead compounds.
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"Challenges for Diadromous Fishes in a Dynamic Global Environment." In Challenges for Diadromous Fishes in a Dynamic Global Environment, edited by Géraldine Lassalle, Mélanie Béguer, Laurent Beaulaton, and Éric Rochard. American Fisheries Society, 2009. http://dx.doi.org/10.47886/9781934874080.ch12.

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<em>Abstract</em>.-Climate change can have an effect on species distributions. The 1900 distribution and potential future distribution of diadromous fish in Europe, North Africa, and the Middle East were explored using generalized additive models (GAMs) and selected habitat characteristics of 196 basins. Robust presence-absence models were built for 20 of the 28 diadromous species in the study area using longitude, annual temperature, drainage surface area, annual precipitation, and source elevation as explanatory variables. Inspection of the relationship between each variable and species presence-absence revealed that the GAMs were generally interpretable and plausible. Given the predicted rise in annual temperature in climate models ranging between 1°C and 7°C by 2100, the fish species were classified according to those losing suitable basins, those gaining suitable basins, and those showing little or no change. It was found that the climate envelopes based on temperature and precipitation for diadromous species would, in general, be shifted farther northeastwards by 2100, and these shifting ranges were comparable with those assessed in other studies. The uncertain future of some species was highlighted, and it was concluded that conservation policy and management plans will need to be revised in the face of climate change.
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Yang, Can, Jun Meng, Shanan Zhu, and Mingwei Dai. "Model Free Data Mining." In Data Mining and Knowledge Discovery Technologies. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-960-1.ch009.

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Input selection is a crucial step for nonlinear regression modeling problem, which contributes to build an interpretable model with less computation. Most of the available methods are model-based, and few of them are model-free. Model-based methods often make use of prediction error or sensitivity analysis for input selection and Model-free methods exploit consistency. In this paper, we show the underlying relationship between sensitivity analysis and consistency analysis for input selection, and then derive an efficient model-free method from our common sense, and then formulate this common sense by fuzzy logic, thus it can be called Fuzzy Consistency Analysis (FCA). In contrast to available methods, FCA has the following desirable properties: 1) it is a model-free method so that it will not be biased on a specific model, exploiting “what the data say” rather than “what the model say”, which is the essential point of data mining – input selection should not be biased on a specific model. 2) it is implemented as efficiently as classical model-free methods, but more flexible than them. 3) it can be directly applied to a data set with mix continuous and discrete inputs without doing rotation. Four benchmark problems study indicates that the proposed method works effectively for nonlinear problems. With the input selection procedure, the underlying reasons which effect the prediction are work out, which helps to gain an insight into a specific problem and servers the purpose of data mining very well.
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Lee, Jeongkyu. "Video Ontology." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch203.

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There has been a great deal of interest in the development of ontology to facilitate knowledge sharing and database integration. In general, ontology is a set of terms or vocabularies of interest in a particular information domain, and shows the relationships among them (Doerr, Hunter, & Lagoze, 2003). It includes machine-interpretable definitions of basic concepts in the domain. Ontology is very popular in the fields of natural language processing (NLP) and Web user interface (Web ontology). To take this advantage into multimedia content analysis, several studies have proposed ontology-based schemes (Hollink & Worring, 2005; Spyropoulos, Paliouras, Karkaletsis, Kosmopoulos, Pratikakis, Perantonis, & Gatos, 2005). Modular structure of the ontology methodology is used in a generic analysis scheme to semantically interpret and annotate multimedia content. This methodology consists of domain ontology, core ontology, and multimedia ontology. Domain ontology captures concepts in a particular type of domain, while core ontology is the key building blocks necessary to enable the scalable assimilation of information from diverse sources. Multimedia ontology is used to model multimedia data, such as audio, image, and video. In the multimedia data analysis the meaningful patterns and hidden knowledge are discovered from the database. There are existing tools for managing and searching the discovered patterns and knowledge. However, almost all of the approaches use low-level feature values instead of high-level perceptions, which make a huge gap between machine interpretation and human understanding. For example, if we have to retrieve anomaly from video surveillance systems, low-level feature values cannot represent such semantic meanings. In order to address the problem, the main focus of research has been on the construction and utilization of ontology for specific data domain in various applications. In this chapter, we first survey the state-of-the-art in multimedia ontology, specifically video ontology, and then investigate the methods of automatic generation of video ontology.
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Schenck, Douglas, and Peter Wilson. "Modeling principles." In Information Modeling: The EXPRESS Way. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195087147.003.0012.

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We now look at some of the more general principles which should be applied when creating an information model. These principles have evolved through experience in creating a wide variety of models. We have tried to separate the topics but, as with any non-trivial subject, there are inevitably overlaps between these, and also some of the principles exhibit a creative tension between them. That is to say that complete adherence to one principle may prevent complete adherence to another; there are trade-offs that can be made and these will vary according to the modeling scope and purpose, and the choice of representation methods. In general, an information model should be precise, complete, non-ambiguous, minimally redundant and implementation independent. The modeling should tend towards clarity rather than conciseness. An information model, although if defined via EXPRESS is computer interpretable, should primarily be designed for a human reader. The modeling constructs should be chosen to aid the reader rather than obfuscate understanding by using complex, intertwined or opaque definitional relationships, particularly if they are comingled with obscure, pretentious, tautological and circumlocutory prosody. It is advantageous to present a model in more than one way, for example using both lexical and graphical representations. This, though, raises a potential ambiguity problem when the multiple representations are not in agreement. Any model that involves multiple representations must be clear about which representation is primary, so the ‘legal’ source is clear in case of disagreements between the various model forms. Define the scope and assumptions of the information model. This should be done at the start of the modeling project. It may turn out that for a complex model, the overall scoping statement can be partitioned into several more detailed scopes each of which serves a particular purpose in the overall model. A scope also defines a context in which the model items reside, thus providing a specific viewpoint in which the items are defined. One view of a model is that it can be considered to consist of a set of scopes and contexts within which the details are represented. The model should be documented according to these aspects.
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Conference papers on the topic "(Relationship of) interpretance"

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Li, Ronghan, Lifang Wang, Shengli Wang, and Zejun Jiang. "Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/531.

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Multi-hop machine reading comprehension (MRC) task aims to enable models to answer the compound question according to the bridging information. Existing methods that use graph neural networks to represent multiple granularities such as entities and sentences in documents update all nodes synchronously, ignoring the fact that multi-hop reasoning has a certain logical order across granular levels. In this paper, we introduce an Asynchronous Multi-grained Graph Network (AMGN) for multi-hop MRC. First, we construct a multigrained graph containing entity and sentence nodes. Particularly, we use ind
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Li, Zihan, Wei Ding, Kui Yu, Suzanne G. Leveille, and Pin Chen. "TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors." In 2018 IEEE International Conference on Big Knowledge (ICBK). IEEE, 2018. http://dx.doi.org/10.1109/icbk.2018.00036.

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Ayush, Kumar, Burak Uzkent, Marshall Burke, David Lobell, and Stefano Ermon. "Generating Interpretable Poverty Maps using Object Detection in Satellite Images." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/608.

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Accurate local-level poverty measurement is an essential task for governments and humanitarian organizations to track the progress towards improving livelihoods and distribute scarce resources. Recent computer vision advances in using satellite imagery to predict poverty have shown increasing accuracy, but they do not generate features that are interpretable to policymakers, inhibiting adoption by practitioners. Here we demonstrate an interpretable computational framework to accurately predict poverty at a local level by applying object detectors to high resolution (30cm) satellite images. Usi
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Maji, Subhadeep, Rohan Kumar, Manish Bansal, Kalyani Roy, and Pawan Goyal. "Logic Constrained Pointer Networks for Interpretable Textual Similarity." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/333.

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Systematically discovering semantic relationships in text is an important and extensively studied area in Natural Language Processing, with various tasks such as entailment, semantic similarity, etc. Decomposability of sentence-level scores via subsequence alignments has been proposed as a way to make models more interpretable. We study the problem of aligning components of sentences leading to an interpretable model for semantic textual similarity. In this paper, we introduce a novel pointer network based model with a sentinel gating function to align constituent chunks, which are represented
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Zhang, Jingyuan, Mingming Sun, Yue Feng, and Ping Li. "Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.717.

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Benabderrahmane, Sidahmed, Ghita Berrada, James Cheney, and Petko Valtchev. "A Rule Mining-based Advanced Persistent Threats Detection System." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/494.

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Advanced persistent threats (APT) are stealthy cyber-attacks that are aimed at stealing valuable information from target organizations and tend to extend in time. Blocking all APTs is impossible, security experts caution, hence the importance of research on early detection and damage limitation. Whole-system provenance-tracking and provenance trace mining are considered promising as they can help find causal relationships between activities and flag suspicious event sequences as they occur. We introduce an unsupervised method that exploits OS-independent features reflecting process activity to
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Wang, Yunbo, Bo Liu, Jiajun Wu, et al. "DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/579.

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A major difficulty of solving continuous POMDPs is to infer the multi-modal distribution of the unobserved true states and to make the planning algorithm dependent on the perceived uncertainty. We cast POMDP filtering and planning problems as two closely related Sequential Monte Carlo (SMC) processes, one over the real states and the other over the future optimal trajectories, and combine the merits of these two parts in a new model named the DualSMC network. In particular, we first introduce an adversarial particle filter that leverages the adversarial relationship between its internal compon
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Soares, Rafael, and Rodolfo Azevedo. "Characterizing Phase Behavior Through Time-Varying Microarchitecture Independent Characteristics Clustering." In XXI Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wscad.2020.14075.

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Programs often exhibit repeating behaviors, which are known as program phases. The automatic discovery of such structured behavior has benefited many applications. However, many existing phase signatures lack the ability to reason about what are the key factors of each phase. Also, programs exhibit phase behavior at many different granularities, and some exhibit hierarchical phase behavior. Many techniques focus on a single granularity, which can cause an out of sync classification with the actual phase behavior. We solve these problems by adopting a recently proposed method of subsequence clust
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Cochran, Jeffrey D., Ruohua Z. Guo, and Charles H. Panzarella. "Estimation and Visualization of the Probability of Failing an Assessment When Using a Failure Assessment Diagram." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45746.

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Codes and standards are often filled with deterministic equations and relationships that are presented without explicit quantification of the uncertainty inherent in their application or derivation. That is not to say that such equations and relationships are not conservative, but to the contrary, that whatever conservatism is dutifully included sometimes goes unquantified. The gamut of Failure Assessment Diagrams (FAD) used for assessing the risk of crack-like flaws provides an excellent example of useful criteria that may benefit from uncertainty quantification. The Level 2 FAD from API 579-
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Bhattacharjya, Debarun, Dharmashankar Subramanian, and Tian Gao. "State Variable Effects in Graphical Event Models." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/592.

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Many real-world domains involve co-evolving relationships between events, such as meals and exercise, and time-varying random variables, such as a patient's blood glucose levels. In this paper, we propose a general framework for modeling joint temporal dynamics involving continuous time transitions of discrete state variables and irregular arrivals of events over the timeline. We show how conditional Markov processes (as represented by continuous time Bayesian networks) and multivariate point processes (as represented by graphical event models) are among various processes that are covered by t
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Reports on the topic "(Relationship of) interpretance"

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Godenau, Dirk. Migration and the economy. Observatorio de la Inmigración de Tenerife. Departamento de Geografía e Historia. Universidad de La Laguna. Tenerife, 2020. http://dx.doi.org/10.25145/r.obitfact.2020.02.

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Economic reasons are among the basic explanatory factors of migration, whether international or internally within a country. In turn, migratory movements have effects on the economy in terms of economic growth in general, but also in the different markets (work, housing, consumer goods, etc.) and public services (education, health, social services, etc.). The purpose of this document is to offer an overview of these interactions between migration and the economy in the case of the Canary Islands. To do this, certain conceptual clarifications will be made initially involving the mutual determin
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