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Thematische Bibliographien / Relationship inference

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Auswahl der wissenschaftlichen Literatur zum Thema „Relationship inference“

Autor: Grafiati

Veröffentlicht am 4. Juni 2025

Zuletzt aktualisiert am 1. August 2025

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Zeitschriftenartikel zum Thema "Relationship inference"

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Nkiinebari Patrick PhD, Nwinyokpugi, and Ezeukwu, Kate Chukwunonso. "Stakeholders Management Indicators: The Business Sustainability Inference." International Journal of Multidisciplinary Research and Analysis 05, no. 10 (2022): 2789–803. http://dx.doi.org/10.47191/ijmra/v5-i10-30.

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The study investigated the relationship between stakeholder relationship management and business sustainability indigenous oil and gas producing companies in Rivers State. The study population comprised of the ten (10) indigenous oil and gas producing companies operating in Rivers State. The research selected variated number of managers from each of the firms under study making it a total sample of sixty two (66) respondents. Data were generated from the respondents by the use of a close-ended structured questionnaire. Pearson’s product moment correlation, partial correlation and multiple regr

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Koscik, Timothy R., and Daniel Tranel. "The Human Ventromedial Prefrontal Cortex Is Critical for Transitive Inference." Journal of Cognitive Neuroscience 24, no. 5 (2012): 1191–204. http://dx.doi.org/10.1162/jocn_a_00203.

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We hypothesized that the ventromedial pFC (vmPFC) is critical for making transitive inferences (e.g., the logical operation that if A > B and B > C, then A > C). To test this, participants with focal vmPFC damage, brain-damaged comparison participants, and neurologically normal participants completed a transitive inference task consisting an ordered set of arbitrary patterns. Participants first learned through trial-and-error the relationships of the patterns (e.g., Pattern A > Pattern B, Pattern B > Pattern C). After initial learning, participants were presented with novel pair

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Novick, Laura R., Kefyn M. Catley, and Daniel J. Funk. "Inference Is Bliss: Using Evolutionary Relationship to Guide Categorical Inferences." Cognitive Science 35, no. 4 (2011): 712–43. http://dx.doi.org/10.1111/j.1551-6709.2010.01162.x.

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Duff, Katharine E., and John P. Smol. "The relationship of chrysophycean stomatocysts to environmental variables in freshwater lakes in British Columbia." Canadian Journal of Botany 73, no. 7 (1995): 1097–111. http://dx.doi.org/10.1139/b95-119.

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The relationships between the distributions of 82 chrysophycean cyst morphotypes and measured environmental variables in freshwater lakes in British Columbia were examined using ordination and regression statistics. After removal of unusual samples, 60 lakes were included in the analyses. Indirect and direct gradient analysis explained 23.2 and 14.0% of the variance in the cyst distribution data, and 31.4 and 53.7% of the variance in the cyst–environment relationship, respectively. Watershed area, Secchi depth and [Mg] were identified as the variables with the greatest contributions to the fir

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Melgarejo, Teófilo Félix Valentín, Pablo Lenin La Madrid Vivar, Clodoaldo Ramos Pando, Pablo Lolo Valentín Melgarejo, and Agustín Arturo Aguirre Adauto. "Inference and reading comprehension in university students." Nurture 18, no. 4 (2024): 785–94. http://dx.doi.org/10.55951/nurture.v18i4.846.

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Purpose: The objective of this research was to determine the relationship between inference and reading comprehension. We sought to verify the relationship between inductive and deductive inferences in the comprehensive reading of Daniel Alcides Carrión National University Peru students majoring in communication and literature. Design/Methodology/Approach: The correlational-explanatory research design was used since the correlation of the study variables was sought through scientific and specifically analytical, deductive and interpretive methodology on a population of 104 and the probabilisti

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Tarlowski, Andrzej. "Naming Patterns and Inductive Inference: The Case of Birds." Journal of Cognition and Culture 11, no. 1-2 (2011): 189–216. http://dx.doi.org/10.1163/156853711x568743.

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AbstractAlthough past research demonstrated that online presentation of labels plays a role in inductive inference few studies have shown that naming practices affect stable category representations that enter into inductive judgments. In this study we provide evidence for a relationship between naming and inductive inference by examining Polish and Spanish speakers’ inferences within the taxonomic class Aves. Birds in Polish are named with one label, ptak, while Spanish uses two labels, ave and pájaro. Size is the feature that determines whether Spanish speakers label a bird as ave or pájaro.

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Shambharkar, Saroj, K. Vaishali, Rachna Somkunwar, Yogeshri Choudhari, and Jyotsna Gawai. "Biological Network, Gene Regulatory Network Inference Using Causal Inference Approach." Revue d'Intelligence Artificielle 36, no. 1 (2022): 139–45. http://dx.doi.org/10.18280/ria.360116.

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In system biology inference from gene regulatory network (GRN) is a challenging task. There exist different computational techniques to analyze the causal relationships between the pair of genes and to understand the significance of causal relationship in gene regulatory network. The DREAM4 insilico network structure and insilico gene expression time series dataset of DREAM challenge dataset is examined. This gene expression dataset of insilico of size 10 is analyzed for inferring causal relationships of the GRN inference. The analysis of dataset showing the gene expression data values are var

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Moeschler, Jacques. "What makes inferences reliable? The unpredictable relationship between pragmatic inference and truth." Journal of Pragmatics 218 (December 2023): 153–64. http://dx.doi.org/10.1016/j.pragma.2023.10.010.

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Inohara, Keisuke, Ryoko Honma, Takayuki Goto, Takashi Kusumi, and Akira Utsumi. "The relationship between reading literary novels and predictive inference generation." Scientific Study of Literature 4, no. 1 (2014): 46–67. http://dx.doi.org/10.1075/ssol.4.1.03ino.

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This study examined the relationship between reading literary novels and generating predictive inferences by analyzing a corpus of Japanese novels. Latent semantic analysis (LSA) was used to capture the statistical structure of the corpus. Then, the authors asked 74 Japanese college students to generate predictive inferences (e.g., “The newspaper burned”) in response to Japanese event sentences (e.g., “A newspaper fell into a bonfire”) and obtained more than 5,000 predicted events. The analysis showed a significant relationship between LSA similarity between the event sentences and the predict

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KURATSUNE, Masanori. "ON THE INFERENCE OF CAUSAL RELATIONSHIP." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 14, no. 1 (1986): 79–84. http://dx.doi.org/10.2333/jbhmk.14.79.

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Dissertationen zum Thema "Relationship inference"

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Mobbs, Deena Catherine. "Inference of genetic relationship." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/12662.

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Santos, Areli Andreia dos. "Towards moving objects relationship inference from encounter patterns." reponame:Repositório Institucional da UFSC, 2016. https://repositorio.ufsc.br/xmlui/handle/123456789/167632.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2016.<br>Made available in DSpace on 2016-09-20T04:05:20Z (GMT). No. of bitstreams: 1 341079.pdf: 3720669 bytes, checksum: 5b6f1fa58f095d53e8e517f2a5b26b14 (MD5) Previous issue date: 2016<br>Dispositivos como smartphones e navegadores GPS são muito populares. Estes equipamentos podem armazenar a localização de um objeto associada ao respectivo tempo, gerando um novo tipo de dado, chamado de trajetórias de objetos móveis. Com esses dados e pos

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Dippery, Kevin L. "Changeover inference : estimating the relationship between DT and OT data '." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA333502.

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Bowyer-Crane, Claudine. "The relationship between reading comprehension and online inference generation in children." Thesis, University of York, 2002. http://etheses.whiterose.ac.uk/14165/.

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Szeto, Ngan-ha Christine. "The relationship between vocabulary development and reading and vocabulary learning strategies." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38718273.

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Cannon, Stephen J. "Analysis of the relationship between partially dynamic Bayesian network architecture and inference algorithm effectiveness." Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/3181.

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Thesis (M.S.)--George Mason University, 2007.<br>Vita: p. 192. Thesis director: Kathryn Blackmond Laskey. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Systems Engineering. Title from PDF t.p. (viewed Aug. 13, 2008). Additional zip folders contain software, thesis defense powerpoint and analysis documents. Includes bibliographical references (p. 190-191). Also issued in print.

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Sieberts, Solveig K. "Joint relationship inference from three or more individuals in the presence of genotyping error /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/8970.

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Chen, Charles. "Lineage specific inference about QTL evolution among three Mimulus species of contrasting relationship and inbreeding." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/8931.

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Complex traits including those involved with natural adaptation are determined by the contributions of numerous genes, the environment, and their interactions. Although quantitative trait locus (QTL) mapping approaches have been successful in dissecting complex traits, few studies have adopted a comparative approach of contrasting species pairs that differ in relationship, for the purpose of dissecting evolutionary changes of QTL. Furthermore, no QTL mapping approaches have explicitly inferred QTLs along lineages in a species network. This thesis brings such a comparative approach into QTL

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Gezgin, Ulas Basar. "Relationship Of Bodily Communication With Cognitive And Personality Variables." Phd thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607258/index.pdf.

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Why are there individual differences in people&amp<br>#8217<br>s bodily communication performance success? Which variables may be responsible for the variation in the performance success? Which analogies would appear to dominate in bodily communication, and in what ways would the metaphorization and metonymization processes operate? In this study, the relationship of bodily communication performance with cognitive and personality variables was investigated. 218 students participated to the first phase of the study while 88 of them participated to the second phase of it. In the first phase, a s

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Cakit, Erman. "Investigating The Relationship Between Adverse Events and Infrastructure Development in an Active War Theater Using Soft Computing Techniques." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5777.

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The military recently recognized the importance of taking sociocultural factors into consideration. Therefore, Human Social Culture Behavior (HSCB) modeling has been getting much attention in current and future operational requirements to successfully understand the effects of social and cultural factors on human behavior. There are different kinds of modeling approaches to the data that are being used in this field and so far none of them has been widely accepted. HSCB modeling needs the capability to represent complex, ill-defined, and imprecise concepts, and soft computing modeling can deal

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Bücher zum Thema "Relationship inference"

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Dippery, Kevin L. Changeover inference: Estimating the relationship between DT and OT data '. Naval Postgraduate School, 1997.

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Jonathan, Wood. Counsellor reliance on non-verbal sources of inference and its relationship to counsellor orientation. University of Surrey, 1994.

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Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th

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Statistical Inference and Statistical Relationship (Statistical Inference & Statistical Relationship). 4th ed. Hafner Press, 1986.

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Relationship Inference with Familias and R. Elsevier, 2016. http://dx.doi.org/10.1016/c2014-0-01828-x.

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Kendall's Advanced Theory of Statistics Vol. 2: Classical Inference and Relationship. Hodder Education Group, 1991.

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Egeland, Thore, Daniel Kling, and Petter Mostad. Relationship Inference with Familias and R: Statistical Methods in Forensic Genetics. Elsevier Science & Technology Books, 2015.

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Egeland, Thore, Daniel Kling, and Petter Mostad. Relationship Inference with Familias and R: Statistical Methods in Forensic Genetics. Elsevier Science & Technology Books, 2015.

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Golan, Amos. Info-Metrics and Statistical Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0012.

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This chapter is the first of a two-chapter sequence looking into the relationship between info-metrics and the more familiar statistical methods of inference, with an emphasis on information-theoretic methods. In this chapter I concentrate on discrete models. The relationship between info-metrics and information-theoretic statistical methods is established via duality theory, which provides a way for specifying all inferential methods as constrained optimization models. Since the objective here is to compare different approaches and philosophies, the analysis and examples are kept simple. A ma

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Stuart, Alan, and J. Keith Ord. Kendall's Advanced Theory of Statistics Volume 2 5ed Classical Inference and Relationship (Oup Edition). Hodder & Stoughton Educational Division, 1991.

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Buchteile zum Thema "Relationship inference"

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Millidge, Beren, Alexander Tschantz, Anil K. Seth, and Christopher L. Buckley. "On the Relationship Between Active Inference and Control as Inference." In Active Inference. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64919-7_1.

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Demey, Lorenz, and Hans Smessaert. "The Relationship between Aristotelian and Hasse Diagrams." In Diagrammatic Representation and Inference. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44043-8_23.

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Arwatchanakarn, Popkarn, and Akhand Akhtar Hossain. "Empirical Relationship Among Money, Output and Prices in Thailand." In Causal Inference in Econometrics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27284-9_30.

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Pawar, Sachin Sharad, Pushpak Bhattacharyya, and Girish Keshav Palshikar. "Joint Inference for End-to-end Relation Extraction." In Investigations in Entity Relationship Extraction. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5391-0_3.

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Wood, Matthew, and Susan Stocklmayer. "Exploring the Relationship Between Visual Context and Affect in Diagram Interpretation." In Diagrammatic Representation and Inference. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91376-6_46.

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Bacelar Valente, Mario. "On the Relationship Between Geometric Objects and Figures in Euclidean Geometry." In Diagrammatic Representation and Inference. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86062-2_7.

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Trillas, Enric. "On Truth and Its Relationship with Inference." In The Genesis of Logic. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55040-9_9.

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Asesh, Aishwarya. "Causal Inference - Time Series." In Digital Interaction and Machine Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_4.

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AbstractDetecting causation in observational data is a difficult task. Identifying the causative direction, coupling delay, and causal chain linkages from time series may be used to find causal relationships. Three issues must be addressed when inferring causality from time series data: resilience to noisy time series, computing efficiency and seamless causal inference from high-dimensional data. The research aims to provide empirical evidence on the relationship of Marvel Cinematic Universe (MCU) movies and marvel comic book sales using Fourier Transforms and cross-correlation of two time ser

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Parekh, Rajesh, and Vasant Honavar. "On the Relationship between Models for Learning in Helpful Environments." In Grammatical Inference: Algorithms and Applications. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-45257-7_17.

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Gong, Xue, and Songsak Sriboonchitta. "The Causal Relationship between Government Opinions and Chinese Stock Market in Social Media Era." In Causal Inference in Econometrics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27284-9_31.

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Konferenzberichte zum Thema "Relationship inference"

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Hu, Xinyu, Jierui Zhang, Wenhao Liu, and Zihui Ma. "AS-LLM: An LLM-based Framework for Industrial Autonomous System Relationship Inference." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11052174.

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Li, Xiaodong, Guohui Tian, Yongcheng Cui, and Yu Gu. "Transformer-Based Relationship Inference Model for Household Object Organization by Integrating Graph Topology and Ontology." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802781.

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Lai, Kenneth, Gregor Wolbring, and Svetlana Yanushkevich. "Causal Inference in Deep Learning Forecasting: A Bayesian Approach to Analyzing the Relationship between Employment Rate and Immigration." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650661.

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Pankajakshan, Arun, Sayan Pal, Maximilian O. Besenhard, Asterios Gavriilidis, Luca Mazzei, and Federico Galvanin. "A Propagated Uncertainty Active Learning Method for Bayesian Classification Problems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.150407.

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Bayesian classification (BC) is a powerful supervised machine learning method for modelling the relationship between a set of continuous variables and a set of discrete variables that represent classes. BC has been successful in engineering and medical applications, including feasibility analysis and clinical diagnosis. Gaussian process (GP) models are widely used in BC methods to model the probability of assigning a class to an input point, typically through an indirect approach: a GP predicts a continuous function value based on Bayesian inference, which is then transformed into class probab

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Kashima, Taiga, Kento Masui, and Hideki Nakayama. "Unsupervised Visual Relationship Inference." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190770.

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Neudorfer, Lior, Yuval Shavitt, and Noa Zilberman. "Improving AS relationship inference using PoPs." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6567185.

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Neudorfer, Lior, Yuval Shavitt, and Noa Zilberman. "Improving AS relationship inference using PoPs." In 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2013. http://dx.doi.org/10.1109/infcomw.2013.6562917.

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Nack, Samuel, Razib Iqbal, and Siming Liu. "SeReIn: Smart Home Sensor Relationship Inference." In 2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2023. http://dx.doi.org/10.23919/softcom58365.2023.10271580.

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Gao, Yuxiang, and Wei-Min Chen. "Family Relationship Inference Using Knights Landing Platform." In 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud). IEEE, 2017. http://dx.doi.org/10.1109/cscloud.2017.41.

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Li, Shuangli, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, and Hui Xiong. "Multi-Temporal Relationship Inference in Urban Areas." In KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2023. http://dx.doi.org/10.1145/3580305.3599440.

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Berichte der Organisationen zum Thema "Relationship inference"

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James, Richard J. E., Hyungseo Kim, Lucy Hitcham, and Richard J. Tunney. Causal inference methods in gambling research. Greo Evidence Insights, 2023. https://doi.org/10.33684/2024.004.

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The purpose of this project was to review and utilise methods from other disciplines in the social sciences in order to be able make stronger causal claims using crosssectional gambling data such as gambling prevalence studies. We focused on the question of whether there is a causal relationship between specific gambling products and individual gambling harms, specifically problem gambling. There has been an existing literature that has looked at this issue, but fails to control for selection biases on engagement with specific gambling behaviours. We reviewed and used three approaches: propens

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Research Institute (IFPRI), International Food Policy. Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture. International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1024320684.

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Pensel, Maximilian, and Anni-Yasmin Turhan. Making Quantification Relevant Again —the Case of Defeasible EL⊥. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.231.

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Defeasible Description Logics (DDLs) extend Description Logics with defeasible concept inclusions. Reasoning in DDLs often employs rational or relevant closure according to the (propositional) KLM postulates. If in DDLs with quantification a defeasible subsumption relationship holds between concepts, this relationship might also hold if these concepts appear in existential restrictions. Such nested defeasible subsumption relationships were not detected by earlier reasoning algorithms—neither for rational nor relevant closure. In this report, we present a new approach for EL ⊥ that alleviates t

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Galbraith, James K. The Gift of Sanctions: An Analysis of Assessments of the Russian Economy, 2022 – 2023. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp204.

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This essay analyzes a few prominent Western assessments, both official and private, of the effect of sanctions on the Russian economy and war effort. It seeks to understand the main goals of sanctions, alongside bases of fact and causal inference that underpin the consensus view that sanctions have been highly effective so far. Such understanding may then help to clarify the relationship between claims made by economist-observers outside Russia and those emerging from sources inside Russia – notably from economists associated with the Russian Academy of Sciences (RAS) – which draw sharply diff

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Read, Matthew. Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions. Reserve Bank of Australia, 2023. http://dx.doi.org/10.47688/rdp2022-09.

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Existing estimates of the macroeconomic effects of Australian monetary policy tend to be based on strong, potentially contentious, assumptions. I estimate these effects under weaker assumptions. Specifically, I estimate a structural vector autoregression identified using a variety of sign restrictions, including restrictions on impulse responses to a monetary policy shock, the monetary policy reaction function, and the relationship between the monetary policy shock and a proxy for this shock. I use an approach to Bayesian inference that accounts for the problem of posterior sensitivity to the

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Morkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk, and Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4373.

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It is proposed to carry out the spatial effect of high-energy ultrasound dynamic effects with controlled characteristics on the solid phase particles of the ore pulp in the deslimer input product to increase the efficiency of thickening and desliming processes of iron ore beneficiation products. The above allows predicting the characteristics of particle gravitational sedimentation based on an assessment of the spatial dynamics of pulp solid- phase particles under the controlled action of high-energy ultrasound and fuzzy logical inference. The object of study is the assessment of the character

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Groeneveld, Andrew B., Stephanie G. Wood, and Edgardo Ruiz. Estimating Bridge Reliability by Using Bayesian Networks. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39601.

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As part of an inspection, bridge inspectors assign condition ratings to the main components of a bridge’s structural system and identify any defects that they observe. Condition ratings are necessarily somewhat subjective, as they are influenced by the experience of the inspectors. In the current work, procedures were developed for making inferences on the reliability of reinforced concrete girders with defects at both the cross section and the girder level. The Bayesian network (BN) tools constructed in this work use simple structural m echanics to model the capacity of girders. By using expe

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Martinez, Melissa. Hypothesis Testing. ConductScience, 2022. http://dx.doi.org/10.55157/cs20220615.

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Hypothesis testing is a statistical method used to evaluate the validity of a potential outcome within a defined significance level, comparing it with an alternative hypothesis. It involves establishing null and alternative hypotheses, making assumptions, calculating a test statistic, and selecting a significance level. The decision to accept or reject the null hypothesis is based on the observed test statistic. Terminologies include null and alternative hypotheses, critical region, critical value, errors, p-value, power of a test, and more. Hypothesis testing is crucial in statistical inferen

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Küsters, Ralf, and Ralf Molitor. Computing Most Specific Concepts in Description Logics with Existential Restrictions. Aachen University of Technology, 2000. http://dx.doi.org/10.25368/2022.108.

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Computing the most specific concept (msc) is an inference task that can be used to support the 'bottom-up' construction of knowledge bases for KR systems based on description logics. For description logics that allow for number restrictions or existential restrictions, the msc need not exist, though. Previous work on this problem has concentrated on description logics that allow for universal value restrictions and number restrictions, but not for existential restrictions. The main new contribution of this paper is the treatment of description logics with existential restrictions. More precise

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Filmer, Deon, Vatsal Nahata, and Shwetlena Sabarwal. Preparation, Practice, and Beliefs: A Machine Learning Approach to Understanding Teacher Effectiveness. Research on Improving Systems of Education (RISE), 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/084.

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This paper uses machine learning methods to identify key predictors of teacher effectiveness, proxied by student learning gains linked to a teacher over an academic year. Conditional inference forests and the least absolute shrinkage and selection operator are applied to matched student-teacher data for Math and Kiswahili from Grades 2 and 3 in 392 schools across Tanzania. These two machine learning methods produce consistent results and outperform standard ordinary least squares in out-of-sample prediction by 14-24 percent. As in previous research, commonly used teacher covariates like teache

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