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Nir Friedman :
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Nir Friedman , Joseph Y. Halpern A Knowledge-Based Framework for Belief Change, Part II: Revision and Update. [Citation Graph (1, 0)][DBLP ] KR, 1994, pp:190-201 [Conf ] Craig Boutilier , Nir Friedman , Joseph Y. Halpern Belief Revision with Unreliable Observations. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1998, pp:127-134 [Conf ] Richard Dearden , Nir Friedman , Stuart J. Russell Bayesian Q-Learning. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1998, pp:761-768 [Conf ] Gal Elidan , Matan Ninio , Nir Friedman , Dale Shuurmans Data Perturbation for Escaping Local Maxima in Learning. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 2002, pp:132-139 [Conf ] Nir Friedman , Moisés Goldszmidt Building Classifiers Using Bayesian Networks. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, Vol. 2, 1996, pp:1277-1284 [Conf ] Nir Friedman , Joseph Y. Halpern Conditional Logics of Belief Change. [Citation Graph (0, 0)][DBLP ] AAAI, 1994, pp:915-921 [Conf ] Nir Friedman , Joseph Y. Halpern Plausibility Measures and Default Reasoning. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, Vol. 2, 1996, pp:1297-1304 [Conf ] Nir Friedman , Joseph Y. Halpern , Daphne Koller First-Order Conditional Logic Revisited. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, Vol. 2, 1996, pp:1305-1312 [Conf ] Nir Friedman , Daphne Koller , Avi Pfeffer Structured Representation of Complex Stochastic Systems. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1998, pp:157-164 [Conf ] Itay Mayrose , Nir Friedman , Tal Pupko A Gamma mixture model better accounts for among site rate heterogeneity. [Citation Graph (0, 0)][DBLP ] ECCB/JBI, 2005, pp:158- [Conf ] Nir Friedman Probabilistic models for identifying regulation networks. [Citation Graph (0, 0)][DBLP ] ECCB, 2003, pp:57- [Conf ] Nir Friedman Learning Belief Networks in the Presence of Missing Values and Hidden Variables. [Citation Graph (0, 0)][DBLP ] ICML, 1997, pp:125-133 [Conf ] Nir Friedman , Moisés Goldszmidt Discretizing Continuous Attributes While Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP ] ICML, 1996, pp:157-165 [Conf ] Nir Friedman , Moisés Goldszmidt , Thomas J. Lee Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting. [Citation Graph (0, 0)][DBLP ] ICML, 1998, pp:179-187 [Conf ] Lise Getoor , Nir Friedman , Daphne Koller , Benjamin Taskar Learning Probabilistic Models of Relational Structure. [Citation Graph (0, 0)][DBLP ] ICML, 2001, pp:170-177 [Conf ] Ronen I. Brafman , Nir Friedman On Decision-Theoretic Foundations for Defaults. [Citation Graph (0, 0)][DBLP ] IJCAI, 1995, pp:1458-1465 [Conf ] Nir Friedman , Moisés Goldszmidt , David Heckerman , Stuart J. Russell Challenge: What is the Impact of Bayesian Networks on Learning? [Citation Graph (0, 0)][DBLP ] IJCAI (1), 1997, pp:10-15 [Conf ] Nir Friedman , Lise Getoor , Daphne Koller , Avi Pfeffer Learning Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP ] IJCAI, 1999, pp:1300-1309 [Conf ] Iftach Nachman , Aviv Regev , Nir Friedman Inferring quantitative models of regulatory networks from expression data. [Citation Graph (0, 0)][DBLP ] ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:248-256 [Conf ] Dana Pe'er , Aviv Regev , Gal Elidan , Nir Friedman Inferring subnetworks from perturbed expression profiles. [Citation Graph (0, 0)][DBLP ] ISMB (Supplement of Bioinformatics), 2001, pp:215-224 [Conf ] Eran Segal , Benjamin Taskar , Audrey Gasch , Nir Friedman , Daphne Koller Rich probabilistic models for gene expression. [Citation Graph (0, 0)][DBLP ] ISMB (Supplement of Bioinformatics), 2001, pp:243-252 [Conf ] Nir Friedman , Joseph Y. Halpern On the Complexity of Conditional Logics. [Citation Graph (0, 0)][DBLP ] KR, 1994, pp:202-213 [Conf ] Nir Friedman , Joseph Y. Halpern Belief Revision: A Critique. [Citation Graph (0, 0)][DBLP ] KR, 1996, pp:421-431 [Conf ] Joseph Y. Halpern , Nir Friedman Plausibility Measures and Default Reasoning: An Overview. [Citation Graph (0, 0)][DBLP ] LICS, 1999, pp:130-135 [Conf ] David Andre , Nir Friedman , Ronald Parr Generalized Prioritized Sweeping. [Citation Graph (0, 0)][DBLP ] NIPS, 1997, pp:- [Conf ] Gal Elidan , Noam Lotner , Nir Friedman , Daphne Koller Discovering Hidden Variables: A Structure-Based Approach. [Citation Graph (0, 0)][DBLP ] NIPS, 2000, pp:479-485 [Conf ] Nir Friedman , Yoram Singer Efficient Bayesian Parameter Estimation in Large Discrete Domains. [Citation Graph (0, 0)][DBLP ] NIPS, 1998, pp:417-423 [Conf ] Noam Slonim , Nir Friedman , Naftali Tishby Agglomerative Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP ] NIPS, 2001, pp:929-936 [Conf ] Amir Ben-Dor , Laurakay Bruhn , Nir Friedman , Iftach Nachman , Michèl Schummer , Zohar Yakhini Tissue classification with gene expression profiles. [Citation Graph (0, 0)][DBLP ] RECOMB, 2000, pp:54-64 [Conf ] Amir Ben-Dor , Nir Friedman , Zohar Yakhini Class discovery in gene expression data. [Citation Graph (0, 0)][DBLP ] RECOMB, 2001, pp:31-38 [Conf ] Yoseph Barash , Gal Elidan , Nir Friedman , Tommy Kaplan Modeling dependencies in protein-DNA binding sites. [Citation Graph (0, 0)][DBLP ] RECOMB, 2003, pp:28-37 [Conf ] Yoseph Barash , Nir Friedman Context-specific Bayesian clustering for gene expression data. [Citation Graph (0, 0)][DBLP ] RECOMB, 2001, pp:12-21 [Conf ] Ariel Jaimovich , Gal Elidan , Hanah Margalit , Nir Friedman Towards an Integrated Protein-Protein Interaction Network. [Citation Graph (0, 0)][DBLP ] RECOMB, 2005, pp:14-30 [Conf ] Tommy Kaplan , Nir Friedman , Hanah Margalit Predicting Transcription Factor Binding Sites Using Structural Knowledge. [Citation Graph (0, 0)][DBLP ] RECOMB, 2005, pp:522-537 [Conf ] Nir Friedman , Michal Linial , Iftach Nachman , Dana Pe'er Using Bayesian networks to analyze expression data. [Citation Graph (0, 0)][DBLP ] RECOMB, 2000, pp:127-135 [Conf ] Nir Friedman , Matan Ninio , Itsik Pe'er , Tal Pupko A structural EM algorithm for phylogenetic inference. [Citation Graph (0, 0)][DBLP ] RECOMB, 2001, pp:132-140 [Conf ] Eran Segal , Yoseph Barash , Itamar Simon , Nir Friedman , Daphne Koller From promoter sequence to expression: a probabilistic framework. [Citation Graph (0, 0)][DBLP ] RECOMB, 2002, pp:263-272 [Conf ] Shai Shalev-Shwartz , Shlomo Dubnov , Nir Friedman , Yoram Singer Robust temporal and spectral modeling for query By melody. [Citation Graph (0, 0)][DBLP ] SIGIR, 2002, pp:331-338 [Conf ] Noam Slonim , Nir Friedman , Naftali Tishby Unsupervised document classification using sequential information maximization. [Citation Graph (0, 0)][DBLP ] SIGIR, 2002, pp:129-136 [Conf ] Nir Friedman , Joseph Y. Halpern A Knowledge-Based Framework for Belief change, Part I: Foundations. [Citation Graph (0, 0)][DBLP ] TARK, 1994, pp:44-64 [Conf ] Xavier Boyen , Nir Friedman , Daphne Koller Discovering the Hidden Structure of Complex Dynamic Systems. [Citation Graph (0, 0)][DBLP ] UAI, 1999, pp:91-100 [Conf ] Craig Boutilier , Nir Friedman , Moisés Goldszmidt , Daphne Koller Context-Specific Independence in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] UAI, 1996, pp:115-123 [Conf ] Richard Dearden , Nir Friedman , David Andre Model based Bayesian Exploration. [Citation Graph (0, 0)][DBLP ] UAI, 1999, pp:150-159 [Conf ] Tal El-Hay , Nir Friedman Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:136-143 [Conf ] Gal Elidan , Nir Friedman Learning the Dimensionality of Hidden Variables. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:144-151 [Conf ] Gal Elidan , Nir Friedman The Information Bottleneck EM Algorithm. [Citation Graph (0, 0)][DBLP ] UAI, 2003, pp:200-208 [Conf ] Nir Friedman The Bayesian Structural EM Algorithm. [Citation Graph (0, 0)][DBLP ] UAI, 1998, pp:129-138 [Conf ] Nir Friedman , Moisés Goldszmidt Learning Bayesian Networks with Local Structure. [Citation Graph (0, 0)][DBLP ] UAI, 1996, pp:252-262 [Conf ] Nir Friedman , Moisés Goldszmidt Sequential Update of Bayesian Network Structure. [Citation Graph (0, 0)][DBLP ] UAI, 1997, pp:165-174 [Conf ] Nir Friedman , Dan Geiger , Noam Lotner Likelihood Computations Using Value Abstraction. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:192-200 [Conf ] Nir Friedman , Moisés Goldszmidt , Abraham Wyner Data Analysis with Bayesian Networks: A Bootstrap Approach. [Citation Graph (0, 0)][DBLP ] UAI, 1999, pp:196-205 [Conf ] Nir Friedman , Joseph Y. Halpern Plausibility Measures: A User's Guide. [Citation Graph (0, 0)][DBLP ] UAI, 1995, pp:175-184 [Conf ] Nir Friedman , Joseph Y. Halpern A Qualitative Markov Assumption and Its Implications for Belief Change. [Citation Graph (0, 0)][DBLP ] UAI, 1996, pp:263-273 [Conf ] Nir Friedman , Daphne Koller Being Bayesian about Network Structure. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:201-210 [Conf ] Nir Friedman , Kevin P. Murphy , Stuart J. Russell Learning the Structure of Dynamic Probabilistic Networks. [Citation Graph (0, 0)][DBLP ] UAI, 1998, pp:139-147 [Conf ] Nir Friedman , Ori Mosenzon , Noam Slonim , Naftali Tishby Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:152-161 [Conf ] Nir Friedman , Iftach Nachman Gaussian Process Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:211-219 [Conf ] Nir Friedman , Iftach Nachman , Dana Pe'er Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. [Citation Graph (0, 0)][DBLP ] UAI, 1999, pp:206-215 [Conf ] Nir Friedman , Stuart J. Russell Image Segmentation in Video Sequences: A Probabilistic Approach. [Citation Graph (0, 0)][DBLP ] UAI, 1997, pp:175-181 [Conf ] Nir Friedman , Zohar Yakhini On the Sample Complexity of Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP ] UAI, 1996, pp:274-282 [Conf ] Eran Segal , Dana Pe'er , Aviv Regev , Daphne Koller , Nir Friedman Learning Module Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2003, pp:525-534 [Conf ] Yoseph Barash , Gill Bejerano , Nir Friedman A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites. [Citation Graph (0, 0)][DBLP ] WABI, 2001, pp:278-293 [Conf ] Ronen I. Brafman , Nir Friedman On decision-theoretic foundations for defaults. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2001, v:133, n:1-2, pp:1-33 [Journal ] Nir Friedman , Joseph Y. Halpern Modeling Belief in Dynamic Systems, Part I: Foundations. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 1997, v:95, n:2, pp:257-316 [Journal ] Yoseph Barash , Elinor Dehan , Meir Krupsky , Wilbur Franklin , Marc Geraci , Nir Friedman , Naftali Kaminski Comparative analysis of algorithms for signal quantitation from oligonucleotide microarrays. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2004, v:20, n:6, pp:839-846 [Journal ] Yoseph Barash , Gal Elidan , Tommy Kaplan , Nir Friedman Y. Barash, G. Elidan, T. Kaplan, , N. Friedman. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2005, v:21, n:5, pp:596-600 [Journal ] Tal Pupko , Itsik Pe'er , Masami Hasegawa , Dan Graur , Nir Friedman A branch-and-bound algorithm for the inference of ancestral amino-acid sequences when the replacement rate varies among sites: Application to the evolution of five gene families. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2002, v:18, n:8, pp:1116-1123 [Journal ] Matan Ninio , Eyal Privman , Tal Pupko , Nir Friedman Phylogeny reconstruction: increasing the accuracy of pairwise distance estimation using Bayesian inference of evolutionary rates. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2007, v:23, n:2, pp:136-141 [Journal ] Nir Friedman , Joseph Y. Halpern Belief Revision: A Critique [Citation Graph (0, 0)][DBLP ] CoRR, 2001, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern Modeling Belief in Dynamic Systems, Part I: Foundations [Citation Graph (0, 0)][DBLP ] CoRR, 2003, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern Modeling Belief in Dynamic Systems, Part II: Revisions and Update [Citation Graph (0, 0)][DBLP ] CoRR, 2003, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern , Daphne Koller First-Order Conditional Logic Revisited [Citation Graph (0, 0)][DBLP ] CoRR, 1998, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern Plausibility Measures and Default Reasoning [Citation Graph (0, 0)][DBLP ] CoRR, 1998, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern Modeling Belief in Dynamic Systems, Part II: Revision and Update [Citation Graph (0, 0)][DBLP ] CoRR, 1999, v:0, n:, pp:- [Journal ] Nir Friedman , Joseph Y. Halpern Plausibility measures and default reasoning. [Citation Graph (0, 0)][DBLP ] J. ACM, 2001, v:48, n:4, pp:648-685 [Journal ] Nir Friedman , Joseph Y. Halpern Modeling Belief in Dynamic Systems, Part II: Revision and Update. [Citation Graph (0, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:117-167 [Journal ] Yoseph Barash , Nir Friedman Context-Specific Bayesian Clustering for Gene Expression Data. [Citation Graph (0, 0)][DBLP ] Journal of Computational Biology, 2002, v:9, n:2, pp:169-191 [Journal ] Gill Bejerano , Nir Friedman , Naftali Tishby Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. [Citation Graph (0, 0)][DBLP ] Journal of Computational Biology, 2004, v:11, n:5, pp:867-886 [Journal ] Amir Ben-Dor , Laurakay Bruhn , Nir Friedman , Iftach Nachman , Michèl Schummer , Zohar Yakhini Tissue Classification with Gene Expression Profiles. [Citation Graph (0, 0)][DBLP ] Journal of Computational Biology, 2000, v:7, n:3-4, pp:559-583 [Journal ] Nir Friedman , Michal Linial , Iftach Nachman , Dana Pe'er Using Bayesian Networks to Analyze Expression Data. [Citation Graph (0, 0)][DBLP ] Journal of Computational Biology, 2000, v:7, n:3-4, pp:601-620 [Journal ] Nir Friedman , Matan Ninio , Itsik Pe'er , Tal Pupko A Structural EM Algorithm for Phylogenetic Inference. [Citation Graph (0, 0)][DBLP ] Journal of Computational Biology, 2002, v:9, n:2, pp:331-353 [Journal ] Lise Getoor , Nir Friedman , Daphne Koller , Benjamin Taskar Learning Probabilistic Models of Link Structure. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2002, v:3, n:, pp:679-707 [Journal ] Eran Segal , Dana Pe'er , Aviv Regev , Daphne Koller , Nir Friedman Learning Module Networks. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2005, v:6, n:, pp:557-588 [Journal ] Gal Elidan , Nir Friedman Learning Hidden Variable Networks: The Information Bottleneck Approach. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2005, v:6, n:, pp:81-127 [Journal ] Nir Friedman , Joseph Y. Halpern Belief Revision: A Critique. [Citation Graph (0, 0)][DBLP ] Journal of Logic, Language and Information, 1999, v:8, n:4, pp:401-420 [Journal ] Nir Friedman , Dan Geiger , Moisés Goldszmidt Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1997, v:29, n:2-3, pp:131-163 [Journal ] Nir Friedman , Daphne Koller Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2003, v:50, n:1-2, pp:95-125 [Journal ] Noam Slonim , Nir Friedman , Naftali Tishby Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP ] Neural Computation, 2006, v:18, n:8, pp:1739-1789 [Journal ] Nir Friedman , Joseph Y. Halpern , Daphne Koller First-order conditional logic for default reasoning revisited. [Citation Graph (0, 0)][DBLP ] ACM Trans. Comput. Log., 2000, v:1, n:2, pp:175-207 [Journal ] Nir Friedman , Raz Kupferman Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2006, pp:- [Conf ] Iftach Nachman , Gal Elidan , Nir Friedman "Ideal Parent" Structure Learning for Continuous Variable Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2004, pp:400-409 [Conf ] Tal El-Hay , Nir Friedman , Daphne Koller , Raz Kupferman Continuous Time Markov Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2006, pp:- [Conf ] Continuous-Time Belief Propagation. [Citation Graph (, )][DBLP ] Automatic genome-wide reconstruction of phylogenetic gene trees. [Citation Graph (, )][DBLP ] Nucleosome positioning from tiling microarray data. [Citation Graph (, )][DBLP ] Gibbs Sampling in Factorized Continuous-Time Markov Processes. [Citation Graph (, )][DBLP ] Identifying novel constrained elements by exploiting biased substitution patterns. [Citation Graph (, )][DBLP ] Modularity and directionality in genetic interaction maps. [Citation Graph (, )][DBLP ] Search in 0.010secs, Finished in 0.013secs