The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Nir Friedman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. Craig Boutilier, Nir Friedman, Joseph Y. Halpern
    Belief Revision with Unreliable Observations. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:127-134 [Conf]
  3. Richard Dearden, Nir Friedman, Stuart J. Russell
    Bayesian Q-Learning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:761-768 [Conf]
  4. 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]
  5. Nir Friedman, Moisés Goldszmidt
    Building Classifiers Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1277-1284 [Conf]
  6. Nir Friedman, Joseph Y. Halpern
    Conditional Logics of Belief Change. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:915-921 [Conf]
  7. Nir Friedman, Joseph Y. Halpern
    Plausibility Measures and Default Reasoning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1297-1304 [Conf]
  8. 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]
  9. Nir Friedman, Daphne Koller, Avi Pfeffer
    Structured Representation of Complex Stochastic Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:157-164 [Conf]
  10. 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]
  11. Nir Friedman
    Probabilistic models for identifying regulation networks. [Citation Graph (0, 0)][DBLP]
    ECCB, 2003, pp:57- [Conf]
  12. 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]
  13. Nir Friedman, Moisés Goldszmidt
    Discretizing Continuous Attributes While Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:157-165 [Conf]
  14. 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]
  15. 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]
  16. Ronen I. Brafman, Nir Friedman
    On Decision-Theoretic Foundations for Defaults. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1458-1465 [Conf]
  17. 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]
  18. Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    Learning Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1300-1309 [Conf]
  19. 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]
  20. 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]
  21. 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]
  22. Nir Friedman, Joseph Y. Halpern
    On the Complexity of Conditional Logics. [Citation Graph (0, 0)][DBLP]
    KR, 1994, pp:202-213 [Conf]
  23. Nir Friedman, Joseph Y. Halpern
    Belief Revision: A Critique. [Citation Graph (0, 0)][DBLP]
    KR, 1996, pp:421-431 [Conf]
  24. Joseph Y. Halpern, Nir Friedman
    Plausibility Measures and Default Reasoning: An Overview. [Citation Graph (0, 0)][DBLP]
    LICS, 1999, pp:130-135 [Conf]
  25. David Andre, Nir Friedman, Ronald Parr
    Generalized Prioritized Sweeping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  26. 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]
  27. Nir Friedman, Yoram Singer
    Efficient Bayesian Parameter Estimation in Large Discrete Domains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:417-423 [Conf]
  28. Noam Slonim, Nir Friedman, Naftali Tishby
    Agglomerative Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:929-936 [Conf]
  29. 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]
  30. Amir Ben-Dor, Nir Friedman, Zohar Yakhini
    Class discovery in gene expression data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2001, pp:31-38 [Conf]
  31. 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]
  32. Yoseph Barash, Nir Friedman
    Context-specific Bayesian clustering for gene expression data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2001, pp:12-21 [Conf]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. Noam Slonim, Nir Friedman, Naftali Tishby
    Unsupervised document classification using sequential information maximization. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:129-136 [Conf]
  40. 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]
  41. 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]
  42. 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]
  43. Richard Dearden, Nir Friedman, David Andre
    Model based Bayesian Exploration. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:150-159 [Conf]
  44. 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]
  45. Gal Elidan, Nir Friedman
    Learning the Dimensionality of Hidden Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:144-151 [Conf]
  46. Gal Elidan, Nir Friedman
    The Information Bottleneck EM Algorithm. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:200-208 [Conf]
  47. Nir Friedman
    The Bayesian Structural EM Algorithm. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:129-138 [Conf]
  48. Nir Friedman, Moisés Goldszmidt
    Learning Bayesian Networks with Local Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:252-262 [Conf]
  49. Nir Friedman, Moisés Goldszmidt
    Sequential Update of Bayesian Network Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:165-174 [Conf]
  50. Nir Friedman, Dan Geiger, Noam Lotner
    Likelihood Computations Using Value Abstraction. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:192-200 [Conf]
  51. 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]
  52. Nir Friedman, Joseph Y. Halpern
    Plausibility Measures: A User's Guide. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:175-184 [Conf]
  53. 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]
  54. Nir Friedman, Daphne Koller
    Being Bayesian about Network Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:201-210 [Conf]
  55. 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]
  56. Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
    Multivariate Information Bottleneck. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:152-161 [Conf]
  57. Nir Friedman, Iftach Nachman
    Gaussian Process Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:211-219 [Conf]
  58. 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]
  59. Nir Friedman, Stuart J. Russell
    Image Segmentation in Video Sequences: A Probabilistic Approach. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:175-181 [Conf]
  60. Nir Friedman, Zohar Yakhini
    On the Sample Complexity of Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:274-282 [Conf]
  61. 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]
  62. 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]
  63. 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]
  64. 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]
  65. 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]
  66. 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]
  67. 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]
  68. 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]
  69. Nir Friedman, Joseph Y. Halpern
    Belief Revision: A Critique [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  70. 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]
  71. 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]
  72. Nir Friedman, Joseph Y. Halpern, Daphne Koller
    First-Order Conditional Logic Revisited [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  73. Nir Friedman, Joseph Y. Halpern
    Plausibility Measures and Default Reasoning [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  74. 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]
  75. 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]
  76. 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]
  77. 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]
  78. 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]
  79. 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]
  80. 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]
  81. 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]
  82. 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]
  83. 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]
  84. 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]
  85. 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]
  86. 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]
  87. 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]
  88. 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]
  89. 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]
  90. Nir Friedman, Raz Kupferman
    Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  91. 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]
  92. Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
    Continuous Time Markov Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  93. Continuous-Time Belief Propagation. [Citation Graph (, )][DBLP]


  94. Automatic genome-wide reconstruction of phylogenetic gene trees. [Citation Graph (, )][DBLP]


  95. Nucleosome positioning from tiling microarray data. [Citation Graph (, )][DBLP]


  96. Gibbs Sampling in Factorized Continuous-Time Markov Processes. [Citation Graph (, )][DBLP]


  97. Identifying novel constrained elements by exploiting biased substitution patterns. [Citation Graph (, )][DBLP]


  98. Modularity and directionality in genetic interaction maps. [Citation Graph (, )][DBLP]


Search in 0.007secs, Finished in 0.014secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002