graphical model in marketing research


Graphical modeling uses graphs, which present the different ways the variables in a model depend on each other, to represent and visualize the model. %PDF-1.4 Online HodgeRank on random graphs for crowdsourceable QoE evaluation. {\displaystyle X_{i}} 1984. In 2013 IEEE international symposium on broadband multimedia systems and broadcasting (BMSB). Inferring ground truth from multi-annotator ordinal data: a probabilistic approach. Journal of Machine Learning Research, Vol. Semi-parametric analysis of multi-rater data. Probabilistic multigraph modeling for improving the quality of crowdsourced affective data. In Proceedings of the 20th ACM international conference on Multimedia. IEEE Transactions on Multimedia, Vol. i is known, or (equivalently in this case) that. 2013a. There is just too much new to learn. Note on regression and inheritance in the case of two parents. 0000066449 00000 n In B. Frey (Ed. 0000024766 00000 n %%EOF 2017. 0000004700 00000 n In general, any two sets of nodes are conditionally independent given a third set if a criterion called d-separation holds in the graph. I was contacted last week by one Statistical modeling often begins with the response generation process because data analysis is a combination of mathematics and substantive You can find the app on iTunes and Google Play . The particular graph shown suggests a joint probability density that factors as, but other interpretations are possible. IEEE, 1--8. 26 0 obj <. Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, and Yuan Yao. xref In Data Compression Conference (DCC), 2017. 2+J I0n((\(Lt{ Partial Correlation Networks, Structural Equation Modeling: Separating the General from the Specific (Part II), Customer Segmentation Using Purchase History: Another Example of Matrix Factorization, Network Visualization of Key Driver Analysis. The resulting displays rely on probability and graph theory, graph algorithms and machine learning; as such, they connect concepts from statistics and computer science. SAGE Research Methods. 90 0 obj <> endobj d9TvvG#iji;(PJSm++ku1x;Fbb|f[Z#hAl|.^N>B amai~a"ZGL,lRXG]cqThz9NvqHvvdJWN{x:kHym Simon Rogers, Mark Girolami, and Tamara Polajnar. ACM, 745--754.

Niels J Blunch. Applied statistics (1979), 20--28. xb```f``f`e`_ l,?Z82l`I@kxi]&q&Z61`WTJelVk19~R&dzrjiJ)6HJN.Ut.3hjz~A:e8m]l:mJs&Il!z@\ wD-IBPJU*&=cFFD|hf&WVGLdX>4QdZ[;7 mhDp'[`b`J@NZ#&&H54d2\a\tDArr= IEEE, 100--105. %,PE4|2FLpoAT(_I\amF+s-8!2(hWWa`%((hjEAchX6Qj~jt +y'2y~|Z}Bj8jlD &u6z@Kg. Learning from crowds. Javascript must be enabled for the correct page display, Watch videos from a variety of sources bringing classroom topics to life, Explore hundreds of books and reference titles. MM '20: Proceedings of the 28th ACM International Conference on Multimedia. Kaimi, Irene, and Christoforos Mamas (2018). 0000043421 00000 n This may be interpreted in terms of each variable 'depending' on the values of its parents in some manner. In Advances in neural information processing systems. 1979.

ACM, 1187--1198. pa tV hq'n[KfC0uP%ga,nT`CW "rKQ 'L` `&~[\6=ha1^Ap6_jM#oad&wJTC+h&:~{e+&K#c{z!T at_k;#,Am,1`v,oq1y\pNj lQ4,>e'%,TG~#c&a*sy]N#{b{+/)x`ct|jQ{?g'# 6766@|imEi85]'0% dAb The models variables can be simply associated or be connected through causal relationships. 1 "Graphical Modeling." Proceedings of the Royal Society of London, Vol. 0000081882 00000 n ) 747-750 Available at: [Accessed 22 Jul 2022]. The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. Add this content to your learning management system or webpage by copying the code below into the HTML editor on the page. Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, and Milad Shokouhi. Involving clients with visualizations of actionable findings. 2016b.

To manage your alert preferences, click on the button below. Graphical Modeling. The accuracy of subjects in a quality experiment: A theoretical subject model. A quality assessment protocol for free-viewpoint video sequences synthesized from decompressed depth data. arXiv preprint arXiv:2004.02067 (2020). In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Classic machine learning models like hidden Markov models, neural networks and newer models such as variable-order Markov models can be considered special cases of Bayesian networks. endstream endobj 91 0 obj <> endobj 92 0 obj <> endobj 93 0 obj <>/ProcSet[/PDF/Text]>> endobj 94 0 obj <>stream International Telecommunication Union (2019). Tobias Hofeld, Raimund Schatz, and Sebastian Egger. 0000047058 00000 n arXiv preprint arXiv:1305.0015 (2013). Biol. Vikas C Raykar, Shipeng Yu, Linda H Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, and Linda Moy. In the proposed model, the ground truth quality label is considered following a categorical distribution. 70. In AAAI. The next figure depicts a graphical model with a cycle. Statistics and Computing, Vol. For the computer graphics journal, see, List of datasets for machine-learning research, Learn how and when to remove this template message, "Getting Started in Probabilistic Graphical Models", "Probabilistic machine learning and artificial intelligence", A Brief Introduction to Graphical Models and Bayesian Networks, Sargur Srihari's lecture slides on probabilistic graphical models, Graphical models and Conditional Random Fields, Probabilistic Graphical Models taught by Eric Xing at CMU, Multivariate adaptive regression splines (MARS), Autoregressive conditional heteroskedasticity (ARCH), https://en.wikipedia.org/w/index.php?title=Graphical_model&oldid=1048104624, Short description is different from Wikidata, Articles lacking in-text citations from May 2017, Creative Commons Attribution-ShareAlike License 3.0, This page was last edited on 4 October 2021, at 07:57. Login or create a profile so that MA OWp/n329*x|4.d:C8Lo4Y:L2.1. y(DX0,g4cR`kU@M6@ ~; 2015. A is the set of parents of node sales retail strategy territory plan area gravitation software planning marketing management tool enlarge It might be easy for As promised in Halo Effects and Multicollinearity (my last post), I will show how to run a confirmatory factor analysis in R to test our bi As promised in my last post , I am following up with another example of how to perform market segmentations with nonnegative matrix factoriz Whatever happened to those evaluations that your airline asked you to complete after taking a flight? Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. Look for the words HTML. 25 0 obj <> endobj You must have a valid academic email address to sign up. To enhance your experience on our site, SAGE stores cookies on your computer. 0000050578 00000 n In Advances in neural information processing systems. 2014. In 5th international workshop on video processing and quality metrics for consumer electronics (VPQM). Learning from the wisdom of crowds by minimax entropy. Thousand Oaks,: SAGE Publications, Inc., 2018, pp.

https://www.itu.int/rec/T-REC-P.910, ITU-T Rec. Advances in health sciences education, Vol. In Advances in neural information processing systems. Neurocomputing, Vol. 0000050078 00000 n networking Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. 0000041379 00000 n Marcus Barkowsky, Margaret Pinson, Romuald Ppion, and Patrick Le Callet. Proceedings of the VLDB Endowment, Vol. 58 (1895), 240--242. disaggregation northeastern edu This article is about the representation of probability distributions using graphs. i are all mutually independent, once u.#nul7agD$U/{4\O6X>8@ =A*5,kgyMkv:xXOFf?Sw" A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons. It's a game of trivial pursuits - here's the logo, now tell me the brand. Sign up for a free trial and experience all SAGE Research Methods has to offer. Bayesian classifier combination. However, the obtained perceptual quality labels are generally noisy. startxref Find step-by-step guidance to complete your research project. 2016. The swift development of the multimedia technology has raised dramatically the users' expectation on the quality of experience. xc``f``r960`PYg7j2 V /E8hO Sign in here to access your reading lists, saved searches and alerts. In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, edited by Frey, Bruce B., 747-50. This alert has been successfully added and will be sent to: You will be notified whenever a record that you have chosen has been cited. (nodes with edges directed towards To obtain the ground-truth perceptual quality for model training, subjective assessment is necessary. A The swift development of the multimedia technology has raised dramatically the users' expectation on the quality of experience. 0000005735 00000 n In other words, the joint distribution factors into a product of conditional distributions. C IEEE, 131--136. f Lisboa , Administrators and Non-Institutional Users: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Add this content to your learning management system or webpage by copying the code below into the HTML editor on the page. % Portugal, MM '22: The 30th ACM International Conference on Multimedia, All Holdings within the ACM Digital Library. Modeling annotator expertise: Learning when everybody knows a bit of something. Kaimi, Irene, and Christoforos Mamas. 41, 4 (2018), 844--856. , ks]adEER{r#FlKaSgGVzp ACM Sigkdd Explorations Newsletter, Vol. Skr., Vol. {\displaystyle X_{i}} 619--627. Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, and Jiawei Han. 0000047364 00000 n ACM, 155--164. 2013. D 359--368. 0000005586 00000 n X ITU-T P.910 (04/08): Subjective Video Quality Assessment Methods for Multimedia Applications. f 1953--1961. 747-50. 5 (1948), 1--34. endstream endobj 747-750). X For example, the directed acyclic graph shown in the Figure this factorization would be. By continuing to use this site you consent to receive cookies. Two branches of graphical representations of distributions are commonly used, namely, Bayesian networks and Markov random fields. They ask you for a number of ratings Sawtooth Software has created a good deal of confusion with its latest sales video published on YouTube . int/rec/R-REC-BT.500. In 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX). Guoliang Li, Jiannan Wang, Yudian Zheng, and Michael J Franklin. From social to individuals: a parsimonious path of multi-level models for crowdsourced preference aggregation. 40 0 obj <]>>stream 1948. In Advances in neural information processing systems. Jing Li, Rafal Mantiuk, Junle Wang, Suiyi Ling, and Patrick Le Callet. [2]. In Proceedings of the 21st international conference on World Wide Web. trailer 15, 5 (2010), 625--632. Lucjan Janowski and Margaret Pinson. Subjective quality assessment comparing UHD and HD resolution in HEVC transmission chains. 0000068376 00000 n 0000067365 00000 n >> Engaging respondents with interesting measurement tasks. More precisely, if the events are

2009. The ACM Digital Library is published by the Association for Computing Machinery. Statistical Models That Support Design Thinking: Driver Analysis vs. Each What's the one thing we need to do? 3475--3485. 0000005144 00000 n 2010. 0000001036 00000 n Marketing researchers are asked this question frequently whenever they analyze customer satisfacti customer satisfaction ratings from an earlier post. 7w n?M'*^|)")(D"-XJlYisG $&Bbyv`i.

, Challenging marketing research to provide a theoretical basis for its measurement procedures. Crowdsourcing platform provides us a convenient and feasible way to run large-scale experiments. Gianluca Demartini, Djellel Eddine Difallah, and Philippe Cudr-Mauroux. ). endstream endobj Exploring outliers in crowdsourced ranking for qoe. , 0000004996 00000 n {\displaystyle X_{1},\ldots ,X_{n}} Generally, probabilistic graphical models use a graph-based representation as the foundation for encoding a distribution over a multi-dimensional space and a graph that is a compact or factorized representation of a set of independences that hold in the specific distribution. 0000086926 00000 n A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. To obtain the ground-truth perceptual quality for model training, subjective assessment is necessary. {\displaystyle f_{AB},f_{AC},f_{AD}} i x @ D?TI^r LTd!XD?*O(m5oPaE4&AsYn%+ #m " In 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX). 2010. 1540--1548. A survey on truth discovery. From this graph we might deduce that https://www.itu.int/rec/T-REC-P.913, ITU-T Rec. Create lists of favorite content with your personal profile for your reference or to share. 2010. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. Kaimi, I. and Mamas, C. 2018. Online crowdsourcing subjective image quality assessment. IEEE Transactions on Affective Computing (2017). xn_#PSde. The Relative Importance of Predictors - Let the Games Begin! D 160 (2015), 141--156. stream C Vikas C Raykar, Shipeng Yu, Linda H Zhao, Anna Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, and Linda Moy. n Qianqian Xu, Qingming Huang, and Yuan Yao. In this paper, we propose a probabilistic graphical annotation model to infer the underlying ground truth and discovering the annotator's behavior. Truth inference in crowdsourcing: Is the problem solved? 2020. In Proceedings of the 25th ACM international conference on Multimedia. ( International Telecommunication Union (2016). IEEE Transactions on Multimedia, Vol. Journal of Marketing Research (1984), 216--220. /Filter /FlateDecode 2012. A wide range of different types of graphical models and methods have been developed in a variety of areas including, but not limited to, medical diagnosis, image understanding, speech recognition, and natural language processing. 2012. 90 37 Please log in from an authenticated institution or log into your member profile to access the email feature. %PDF-1.6 % 2012. In addition, different annotator's behaviors in crowdsourcing are modeled, which allows us to identify the possibility that the annotator makes noisy labels during the test. IEEE transactions on pattern analysis and machine intelligence, Vol. Edited by Bruce B. Frey. x[Ks8i6akNO[rNuR_ PL&'B @~7qQ<<47_6on,wjg[;`G%]/_tqY(3'sj7`hQV]mK>6 In Artificial Intelligence and Statistics. Copyright 2022 ACM, Inc. A Probabilistic Graphical Model for Analyzing the Subjective Visual Quality Assessment Data from Crowdsourcing. ), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. The proposed model has been tested on both simulated data and real-world data, where it always shows superior performance than the other state-of-the-art models in terms of accuracy and robustness. Let's Do Some Hierarchical Bayes Choice Modeling in R! View or download all content my institution has access to. 0000001707 00000 n 2195--2203. [1], The undirected graph shown may have one of several interpretations; the common feature is that the presence of an edge implies some sort of dependence between the corresponding random variables. 0000081470 00000 n In the proposed model, the ground truth quality label is considered following a categorical distribution rather than a unique number, i.e., different reliable opinions on the perceptual quality are allowed. 17, 12 (2015), 2210--2224. 0000066951 00000 n 0000001900 00000 n David R Karger, Sewoong Oh, and Devavrat Shah. 2013b. 2014. <<63E23641D3DFBE429B5EF13C2F30966A>]>> 0000001770 00000 n Analysis of freely available subjective dataset for HDTV including coding and transmission distortions. ITU-R BT.500--14 (10/2019): Methodologies for the Subjective Assessment of the Quality of Television Images. In Proceedings of the 23rd international conference on World wide web. 0000041771 00000 n In education, such systems may extend from the classroom [Page 747]unit to the Kaimi, I., & Mamas, C. (2018). ACM, 889--896. oaE1 M7{qSsY)ePql '}NT?~dcQiI\'g3=Po;a@'~` mk;gia0muEb] ,"4(/(}>DI Incorporating Preference Construction into the Choice Modeling Process. Jianbo Ye, Jia Li, Michelle G Newman, Reginald B Adams, and James Z Wang. If the network structure of the model is a directed acyclic graph, the model represents a factorization of the joint probability of all random variables. ITU-T P.913 (03/2016): Methods for the Subjective Assessment of Video Quality, Audio Quality and Audiovisual Quality of Internet Video and Distribution Quality Television in Any Environment. Yunus Emre Kara, Gaye Genc, Oya Aran, and Lale Akarun. Look for the words HTML or . Answer a handful of multiple-choice questions to see which statistical method is best for your data. Position bias in multiple-choice questions. Kaimi, Irene and Christoforos Mamas. 2013. Karl Pearson. you can save clips, playlists and searches. 0000087179 00000 n X In Proceedings of the 21st ACM international conference on Multimedia. Maximum likelihood estimation of observer error-rates using the EM algorithm.

{\displaystyle {\text{pa}}(X_{i})} 0000025823 00000 n Crowdsourcing for Multiple-Choice Question Answering.. Hyun-Chul Kim and Zoubin Ghahramani. Yan Yan, Rmer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo, Luca Bogoni, Linda Moy, and Jennifer Dy. 0000004847 00000 n

Thorvald Srensen. In Advances in neural information processing systems. B X 2016a. Balaji Lakshminarayanan and Yee Whye Teh. It can be difficult to work your way through hierarchical Bayes choice modeling. The framework of the models, which provides algorithms for discovering and analyzing structure in complex distributions to describe them succinctly and extract the unstructured information, allows them to be constructed and utilized effectively. 2015. In 2011 third international workshop on quality of multimedia experience. f International Telecommunication Union (2008). 2035--2043. 0000040962 00000 n , 2013. 0000026762 00000 n %PDF-1.5 % Variational inference for crowdsourcing. 4 0 obj << Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation. Modeling annotator behaviors for crowd labeling. 2015. Graphical modeling. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data. IEEE, 1--6. Jacob Whitehill, Ting-fan Wu, Jacob Bergsma, Javier R Movellan, and Paul L Ruvolo. 20, 3 (2010), 317--334. The use of graphical models can also enable understanding of social and technical features of organizations and structures. Zhi Li, Christos G Bampis, Lucjan Janowski, and Ioannis Katsavounidis. then the joint probability satisfies, where

Supervised learning from multiple experts: whom to trust when everyone lies a bit.

for some non-negative functions Dengyong Zhou, Sumit Basu, Yi Mao, and John C Platt. Political Science and International Relations, Model.ContextInformation.InstitutionDisplayText. ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. Hybrid-MST: A hybrid active sampling strategy for pairwise preference aggregation. 0000047658 00000 n Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, and Murat Demirbas. ITU-T Rec. Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, and Yuan Yao. Qianqian Xu, Jiechao Xiong, Qingming Huang, and Yuan Yao. Please save your results to "My Self-Assessments" in your profile before navigating away from this page.

Chinese University of Hong Kong, Shenzhen, China, National University of Singapore, Singapore, https://dl.acm.org/doi/abs/10.1145/3394171.3413619. 2946--2953. 2011. In Proceedings of the 26th Annual international conference on machine learning. Alexander Philip Dawid and Allan M Skene. 126 0 obj <>stream Kongfeng Berger, Yao Koudota, Marcus Barkowsky, and Patrick Le Callet. The Graphical Network Associated with Customer Churn, Undirected Graphs When the Causality Is Mutual. Crowdsourcing platform provides us a convenient and feasible way to run large-scale experiments. 2014. 27 0 obj <>stream A Simple Model for Subject Behavior in Subjective Experiments. Qiang Liu, Jian Peng, and Alexander T Ihler. The proposed model has been tested on both simulated data and real-world data, where it always shows superior performance than the other state-of-the-art models in terms of accuracy and robustness. ),Graphical modeling The SAGE encyclopedia of educational research, measurement, and evaluation Thousand Oaks,, CA: SAGE Publications, Inc.; 2018:747-750. doi:10.4135/9781506326139.n293. (Ed. Iterative learning for reliable crowdsourcing systems. We use cookies to ensure that we give you the best experience on our website. 0000082273 00000 n 0000002028 00000 n Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, and Jiawei Han. Navigating away from this page will delete your results. 1895. 2015. 0000005438 00000 n

{\displaystyle A} 2010. Check if you have access through your login credentials or your institution to get full access on this article. 0000025364 00000 n The Topology Underlying the Brand Logo Naming Game: Unidimensional or Local Neighborhoods? Warning: Sawtooth's MaxDiff Is Nothing More Than a Technique for Rank Ordering Features! 2010.

"Graphical Modeling." Thinking Strategically about Customer Heterogeneity Ironically, market segmentation, whose motto is "one size does not fit all," We have been talking about design thinking in marketing since Tim Brown's Harvard Business Review article in 2008 . We found other relevant content for you on other SAGE platforms. Learn More about Embedding icon link (opens in new window), Have you created a personal profile? 2012. In this paper, we propose a probabilistic graphical annotation model to infer the underlying ground truth and discovering the annotator's behavior. Likert scales, levels of measurement and the 'laws' of statistics. /Length 4624 2018. 16, 2 (2013), 373--386. The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Thousand Oaks,, CA: SAGE Publications, Inc. pp. Both families encompass the properties of factorization and independences, but they differ in the set of independences they can encode and the factorization of the distribution that they induce. 2011. 0000005291 00000 n However, the obtained perceptual quality labels are generally noisy. K|"xXm ja/4q;%b3\|zq3'V{a`_5Qg .e)e5:nq#t Thousand Oaks,, CA: SAGE Publications, Inc., 2018. https://dx.doi.org/10.4135/9781506326139.n293. 2017.

[1] Applications of graphical models include causal inference, information extraction, speech recognition, computer vision, decoding of low-density parity-check codes, modeling of gene regulatory networks, gene finding and diagnosis of diseases, and graphical models for protein structure. Any two nodes are conditionally independent given the values of their parents. 22 Jul 2022, doi: https://dx.doi.org/10.4135/9781506326139.n293. Theory and algorithms for application domains. 2017. The SAGE Encyclopedia of Educational Research, https://methods.sagepub.com/reference/the-sage-encyclopedia-of-educational-research-measurement-and-evaluation/i9947.xml, CCPA Do Not Sell My Personal Information. A 0000000016 00000 n 2009. Robust evaluation for quality of experience in crowdsourcing. Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, and Jiawei Han. 2017. 932--939. Geoff Norman. Zhi Li and Christos G Bampis. . B 2008. 10, 5 (2017), 541--552. Crowdsourced data management: A survey. Yudian Zheng, Guoliang Li, Yuanbing Li, Caihua Shan, and Reynold Cheng. This visualization demonstrates how methods are related and connects users to relevant content. 11, Apr (2010), 1297--1322. IEEE Transactions on Knowledge and Data Engineering, Vol. Graphical modeling In: Frey, Bruce B.

{\displaystyle B,C,D} 2018. A 0

IEEE, 52--61. , 28, 9 (2016), 2296--2319. Community-based bayesian aggregation models for crowdsourcing. In: Bruce B. Frey Editor, 2018.

X User-centered EEG-based multimedia quality assessment. 2012. ACM, 469--478. Arghir-Nicolae Moldovan, Ioana Ghergulescu, Stephan Weibelzahl, and Cristina Hava Muntean. 43--52. 17, 2 (2016), 1--16. Emilie Bosc, Philippe Hanhart, Patrick Le Callet, and Touradj Ebrahimi. [SK{ZbeqA'5rzLTvS`O HIdaz2'Ko-KI-G They are commonly used in probability theory, statisticsparticularly Bayesian statisticsand machine learning. SOS: The MOS is not enough!. Recover subjective quality scores from noisy measurements. 692--700. Qianqian Xu, Jiechao Xiong, Qingming Huang, and Yuan Yao. 2019. In addition, different annotator's behaviors in crowdsourcing are modeled, which allows us to identify the possibility that the annotator makes noisy labels during the test. SAGE Publications, Inc., https://dx.doi.org/10.4135/9781506326139.n293. This type of graphical model is known as a directed graphical model, Bayesian network, or belief network. https://www.itu. 0000050307 00000 n Local independences and global independences are equivalent in Bayesian networks. ,
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