Search results for "conditional independence"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Marco Baioletti, Giuseppe Busanello, Barbara Vantaggi	Acyclic Directed Graphs to Represent Conditional Independence Models.	ECSQARU	2009	DBLP DOI BibTeX RDF	Conditional independence models, Graphoid properties, Inferential rules, Acyclic directed graphs, Perfect map
3	Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.	A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.	DaWaK	2007	DBLP DOI BibTeX RDF	Bayesian Networks, Bayesian Classifiers, Conditional Independence, Markov Blanket
3	Sandeep Mane, Jaideep Srivastava, San-Yih Hwang	Estimating missed actual positives using independent classifiers.	KDD	2005	DBLP DOI BibTeX RDF	capture-recapture method, conditional independence of classifiers given class label, conditional independence of features given class label, conditional mutual information, false negative
3	Tomás Kroupa	Conditional independence in probability theory on MV-algebras.	Soft Comput.	2004	DBLP DOI BibTeX RDF	Probability on MV-algebras, Observable, Conditional independence
2	Takashi Isozaki, Maomi Ueno	Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	Conditional independence test, Minimum free energy principle, Bayesian networks, Structure learning
2	Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão	Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.	HIS	2007	DBLP DOI BibTeX RDF
2	Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti	Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
2	Christian Borgelt	Learning Undirected Possibilistic Networks with Conditional Independence Tests.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
2	Limin Wang, Xuecheng Wang, Xiongfei Li	Inference and learning in hybrid probabilistic network.	Frontiers of Computer Science in China	2007	DBLP DOI BibTeX RDF	hybrid probabilistic network, conditional independence assumption, Bayesian network, probabilistic neural network
2	Remco R. Bouckaert, Milan Studený	Racing for Conditional Independence Inference.	ECSQARU	2005	DBLP DOI BibTeX RDF
2	Yongchuan Tang, Jiacheng Zheng	Dempster Conditioning and Conditional Independence in Evidence Theory.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
2	Barbara Vantaggi	The role of coherence for handling probabilistic evaluations and independence.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Coherent conditional probability assessment, Compatibility, Conditional independence
2	Jiang Su, Harry Zhang	Learning Conditional Independence Tree for Ranking.	ICDM	2004	DBLP DOI BibTeX RDF
2	Harry Zhang, Jiang Su	Conditional Independence Trees.	ECML	2004	DBLP DOI BibTeX RDF
2	Cory J. Butz, S. K. Michael Wong, Dan Wu	A New Inference Axiom for Probabilistic Conditional Independence.	Canadian Conference on AI	2003	DBLP DOI BibTeX RDF
2	Anke Neumann	Graphical Gaussian Shape Models and Their Application to Image Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Bookstein coordinates, graphical Gaussian models, Bayesian image segmentation, Markov chain Monte Carlo sampling methods, slice sampler, Markov random fields, Shape, Gibbs sampler, conditional independence
2	Simon C. Shaw, Michael Goldstein, Malcolm Munro, Elizabeth Burd	Moral Dominance Relations for Program Comprehension.	IEEE Trans. Software Eng.	2003	DBLP DOI BibTeX RDF	Directed graphical model, generalized conditional independence, reuse candidate, testing, reverse engineering, program comprehension, reengineering, dominance tree
2	Cory J. Butz, Manon J. Sanscartier	Properties of Weak Conditional Independence.	Rough Sets and Current Trends in Computing	2002	DBLP DOI BibTeX RDF
2	Guillaume Marrelec, Mélanie Pélégrini-Issac, Habib Benali	Conditional independence graphs for functional connectivity in functional MRI.	ISBI	2002	DBLP DOI BibTeX RDF
2	Katia Kermanidis, Manolis Maragoudakis, Nikos Fakotakis, George K. Kokkinakis	Influence of Conditional Independence Assumption on Verb Subcategorization Detection.	TSD	2001	DBLP DOI BibTeX RDF
2	Boutheina Ben Yaghlane, Philippe Smets, Khaled Mellouli	About Conditional Belief Function Independence.	ECSQARU	2001	DBLP DOI BibTeX RDF	Conditional Irrelevance, Condi- tional Non-interactivity, Belief functions, Conditional Independence, Transferable Belief Model
2	Tao Lin, Yichao Huang	A Study of Conditional Independence Change in Learning Probabilistic Network.	Rough Sets and Current Trends in Computing	2000	DBLP DOI BibTeX RDF
2	Xudong Luo, Chengqi Zhang	Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions.	IEEE Trans. Knowl. Data Eng.	1999	DBLP DOI BibTeX RDF	sequential propagation, Uncertainty, expert system, probability theory, certainty factor
2	Ueli M. Maurer	Information-Theoretic Cryptography.	CRYPTO	1999	DBLP DOI BibTeX RDF	information-theoretic primitive, generalized random oracle, Information theory, unconditional security, conditional independence
2	Carlo Berzuini, Cristiana Larizza	A Unified Approach for Modeling Longitudinal and Failure Time Data, With Application in Medical Monitoring.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	statistical forecasting, analysis of time series data, analysis of failure data, conditional independence graphs, model determination, Bayesian inference, Markov chain Monte Carlo methods, medical monitoring
1	Sohan Seth, José Carlos Príncipe	Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Yu-Hsiang Cheng, Tzee-Ming Huang	A conditional independence test for dependent data based on maximal conditional correlation.	J. Multivariate Analysis	2012	DBLP DOI BibTeX RDF
1	Antonio Forcina	Smoothness of conditional independence models for discrete data.	J. Multivariate Analysis	2012	DBLP DOI BibTeX RDF
1	Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf	Kernel-based Conditional Independence Test and Application in Causal Discovery	CoRR	2012	DBLP BibTeX RDF
1	Takamitsu Hashimoto, Maomi Ueno	Latent Conditional Independence Test Using Bayesian Network Item Response Theory.	IEICE Transactions	2011	DBLP BibTeX RDF
1	Radford M. Neal	On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note)	CoRR	2011	DBLP BibTeX RDF
1	Radim Jirousek, Jirina Vejnarová	Compositional models and conditional independence in evidence theory.	Int. J. Approx. Reasoning	2011	DBLP DOI BibTeX RDF
1	François Desbouvries, Yohan Petetin, Emmanuel Monfrini	Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence.	ICASSP	2011	DBLP DOI BibTeX RDF
1	Guofu Xin, Youlong Yang, Xia Liu	Analysis of Conditional Independence Relationship and Applications Based on Layer Sorting in Bayesian Networks.	AICI	2011	DBLP DOI BibTeX RDF
1	Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf	Kernel-based Conditional Independence Test and Application in Causal Discovery.	UAI	2011	DBLP BibTeX RDF
1	Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean Gao	Learning biological network using mutual information and conditional independence.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Gery Geenens, Léopold Simar	Nonparametric tests for conditional independence in two-way contingency tables.	J. Multivariate Analysis	2010	DBLP DOI BibTeX RDF
1	Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindner, Milan Studený	Efficient Algorithms for Conditional Independence Inference.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Mathias Niepert, Dirk Van Gucht, Marc Gyssens	Logical and algorithmic properties of stable conditional independence.	Int. J. Approx. Reasoning	2010	DBLP DOI BibTeX RDF
1	Christian Borgelt	A conditional independence algorithm for learning undirected graphical models.	J. Comput. Syst. Sci.	2010	DBLP DOI BibTeX RDF
1	Sohan Seth, Jose C. Principe	A conditional distribution function based approach to design nonparametric tests of independence and conditional independence.	ICASSP	2010	DBLP DOI BibTeX RDF
1	Magdalena Ivanovska, Martin Giese	Probabilistic Logic with Conditional Independence Formulae.	STAIRS	2010	DBLP DOI BibTeX RDF
1	Magdalena Ivanovska, Martin Giese	Probabilistic Logic with Conditional Independence Formulae.	ECAI	2010	DBLP DOI BibTeX RDF
1	Sohan Seth, Jose C. Principe	A Test of Granger Non-causality Based on Nonparametric Conditional Independence.	ICPR	2010	DBLP DOI BibTeX RDF
1	Murugan Ayyappan, Yew-Kwong Woon, Wee Keong Ng	MICHO: a scalable constraint-based algorithm for learning Bayesian networks.	SAC	2010	DBLP DOI BibTeX RDF	data mining, machine learning, classification, Bayesian networks, large datasets, conditional independence
1	Zhenxing Wang, Laiwan Chan	An efficient causal discovery algorithm for linear models.	KDD	2010	DBLP DOI BibTeX RDF	bayesian networks, graphical models, causal modeling
1	Alun Thomas	Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium.	Computational Statistics & Data Analysis	2009	DBLP DOI BibTeX RDF
1	Federico M. Stefanini, Danila Coradini, Elia Biganzoli	Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Les Oxley, Marco Reale, Granville Tunnicliffe Wilson	Constructing structural VAR models with conditional independence graphs.	Mathematics and Computers in Simulation	2009	DBLP DOI BibTeX RDF
1	Marco Baioletti, Giuseppe Busanello, Barbara Vantaggi	Conditional independence structure and its closure: Inferential rules and algorithms.	Int. J. Approx. Reasoning	2009	DBLP DOI BibTeX RDF
1	Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe	Maximum-likelihood estimation of autoregressive models with conditional independence constraints.	ICASSP	2009	DBLP DOI BibTeX RDF
1	Sohan Seth, Il Park 0002, Jose C. Principe	A new nonparametric measure of conditional independence.	ICASSP	2009	DBLP DOI BibTeX RDF
1	Mathias Niepert	Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence.	UAI	2009	DBLP BibTeX RDF
1	Guofeng Cao, Phaedon C. Kyriakidis, Michael F. Goodchild	Prediction and simulation in categorical fields: a transition probability combination approach.	GIS	2009	DBLP DOI BibTeX RDF	tau model, categorical data, conditional independence
1	Cory J. Butz, Hong Yao, Shan Hua	A join tree probability propagation architecture for semantic modeling.	J. Intell. Inf. Syst.	2009	DBLP DOI BibTeX RDF	Join trees, Bayesian networks, Probabilistic inference, Conditional independence
1	Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan	Independent factor topic models.	ICML	2009	DBLP DOI BibTeX RDF
1	Claus Möbus, Hilke Garbe	Learning the DAG of bayesian belief networks by asking (conditional) (in-)dependence questions.	K-CAP	2009	DBLP DOI BibTeX RDF	bayesian network, knowledge acquisition, structure learning
1	Minhua Huang, Robert M. Haralick	Identifying Patterns in Texts.	ICSC	2009	DBLP DOI BibTeX RDF
1	Yasser Hifny, Steve Renals	Speech Recognition Using Augmented Conditional Random Fields.	IEEE Transactions on Audio, Speech & Language Processing	2009	DBLP DOI BibTeX RDF
1	Hao Chen, Biao Chen, Pramod K. Varshney	Further Results on the Optimality of the Likelihood-Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels.	IEEE Transactions on Information Theory	2009	DBLP DOI BibTeX RDF
1	Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai	Averaged Naive Bayes Trees: A New Extension of AODE.	ACML	2009	DBLP DOI BibTeX RDF	augmented naive Bayes, averaged one-dependence estimators, naive Bayes trees, model averaging, naive Bayes
1	Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer	Data-Efficient Information-Theoretic Test Selection.	AIME	2009	DBLP DOI BibTeX RDF
1	Ronen I. Brafman, Yagil Engel	Directional Decomposition of Multiattribute Utility Functions.	ADT	2009	DBLP DOI BibTeX RDF
1	Minhua Huang, Robert M. Haralick	A Probabilistic Graphical Model for Recognizing NP Chunks in Texts.	ICCPOL	2009	DBLP DOI BibTeX RDF	NP chunking, graphical models, separators, cliques
1	Kun Zhang, Aapo Hyvärinen	Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Mathias Niepert, Dirk Van Gucht, Marc Gyssens	On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach	CoRR	2008	DBLP BibTeX RDF
1	Jim Q. Smith, Paul E. Anderson	Conditional independence and chain event graphs.	Artif. Intell.	2008	DBLP DOI BibTeX RDF
1	Radim Jirousek	Conditional independence and factorization of multidimensional models.	FUZZ-IEEE	2008	DBLP DOI BibTeX RDF
1	Mathias Niepert, Dirk Van Gucht, Marc Gyssens	On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach.	UAI	2008	DBLP BibTeX RDF
1	Juliette Blanchet, Florence Forbes	Triplet Markov Fields for the Classification of Complex Structure Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Triplet Markov model, Complex noise models, EM-like algorithms, High dimensional data, Supervised classification, Conditional independence
1	Han-Lim Choi, Jonathan P. How	Continuous motion planning for information forecast.	CDC	2008	DBLP DOI BibTeX RDF
1	Hao Chen, Pramod K. Varshney, Biao Chen	Cooperative relay for decentralized detection.	ICASSP	2008	DBLP DOI BibTeX RDF
1	Pan Pan, Dan Schonfeld	Visual tracking using high-order Monte Carlo Markov chain.	ICIP	2008	DBLP DOI BibTeX RDF
1	Fawang Liu, Yunde Jia	Human Action Recognition Using Manifold Learning and Hidden Conditional Random Fields.	ICYCS	2008	DBLP DOI BibTeX RDF
1	Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal, Javier Gonzalez	Efficient probabilistic Range-Only SLAM.	IROS	2008	DBLP DOI BibTeX RDF
1	Valentin Ion, Reinhold Haeb-Umbach	A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition.	IEEE Transactions on Audio, Speech & Language Processing	2008	DBLP DOI BibTeX RDF
1	Pedro Pinies, Juan D. Tardós	Large-Scale SLAM Building Conditionally Independent Local Maps: Application to Monocular Vision.	IEEE Transactions on Robotics	2008	DBLP DOI BibTeX RDF
1	Shunkai Fu, Michel Desmarais	Fast Markov Blanket Discovery Algorithm Via Local Learning within Single Pass.	Canadian Conference on AI	2008	DBLP DOI BibTeX RDF	single pass, AD-tree, feature selection, local learning, Markov blanket
1	Kevin Kontos, Gianluca Bontempi	Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data.	BIRD	2008	DBLP DOI BibTeX RDF
1	Angela Maduko, Kemafor Anyanwu, Amit P. Sheth, Paul Schliekelman	Graph Summaries for Subgraph Frequency Estimation.	ESWC	2008	DBLP DOI BibTeX RDF	Graph summaries, Data summaries, Frequency estimation
1	Roger Luis, Luis Enrique Sucar, Eduardo F. Morales	Transfer Learning for Bayesian Networks.	IBERAMIA	2008	DBLP DOI BibTeX RDF
1	Siwei Jiang, Zhihua Cai	Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute.	ISICA	2008	DBLP DOI BibTeX RDF	selective attribute, weighted attribute, classification, support vector machine, Naive Bayes
1	Chong Chen, Hongfei Yan, Xiaoming Li	Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features.	PAKM	2008	DBLP DOI BibTeX RDF	classification, feature, probability estimation, Digital resource
1	Xiaohai Sun	Distribution-Free Learning of Bayesian Network Structure.	ECML/PKDD	2008	DBLP DOI BibTeX RDF	independence tests, kernel methods, graphical models
1	María José García-Zattera, Alejandro Jara, Emmanuel Lesaffre, Dominique Declerck	Conditional independence of multivariate binary data with an application in caries research.	Computational Statistics & Data Analysis	2007	DBLP DOI BibTeX RDF
1	Estevam R. Hruschka Jr., Sebastian D. C. de O. Galvão	Fast Conditional Independence-based Bayesian Classifier.	JCSE	2007	DBLP BibTeX RDF
1	Remco R. Bouckaert, Milan Studený	Racing algorithms for conditional independence inference.	Int. J. Approx. Reasoning	2007	DBLP DOI BibTeX RDF
1	Ramesh Ram, Madhu Chetty	A Framework for Path Analysis in Gene Regulatory Networks.	PRIB	2007	DBLP DOI BibTeX RDF	d-separation, Causal model, conditional independence
1	Andrew T. Smith, Charles Elkan	Making generative classifiers robust to selection bias.	KDD	2007	DBLP DOI BibTeX RDF	generative classifiers, reject inference, semi-supervised learning, sample selection bias
1	Yagil Engel, Michael P. Wellman	Generalized value decomposition and structured multiattribute auctions.	ACM Conference on Electronic Commerce	2007	DBLP DOI BibTeX RDF	multiattribute auctions, preference handling, auctions
1	Ramesh Ram, Madhu Chetty	Learning Structure of a Gene Regulatory Network.	ACIS-ICIS	2007	DBLP DOI BibTeX RDF
1	Congxin Jiao, Jiangwen Sun, Chong-Jun Wang, Manwu Xu	GAB: Graph Augmented Bayes Classifier.	FSKD	2007	DBLP DOI BibTeX RDF
1	Jiangwen Sun, Chong-Jun Wang, Shifu Chen	A Double Layer Bayesian Classifier.	FSKD	2007	DBLP DOI BibTeX RDF
1	Pascal Michaillat, Shmuel S. Oren	A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and Quantity Competition.	HICSS	2007	DBLP DOI BibTeX RDF
1	Hang Zhou, David Suter	Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features.	ICIP	2007	DBLP DOI BibTeX RDF
1	Dong Zhang, Samy Bengio	Exploring Contextual Information in a Layered Framework for Group Action Recognition.	ICME	2007	DBLP DOI BibTeX RDF
1	Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fernandez-Madrigal	A Consensus-based Approach for Estimating the Observation Likelihood of Accurate Range Sensors.	ICRA	2007	DBLP DOI BibTeX RDF
1	Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato	Robust Action Recognition and Segmentation with Multi-Task Conditional Random Fields.	ICRA	2007	DBLP DOI BibTeX RDF
1	Elias Zavitsanos, Georgios Paliouras, George A. Vouros, Sergios Petridis	Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora.	Web Intelligence	2007	DBLP DOI BibTeX RDF
1	Lu Yu, Lenan Wu	Comments on 'A Separable Low Complexity 2D HMM with Application to Face Recognition'.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	2D HMM, separability, low complexity