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Daphne Koller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniela Florescu, Daphne Koller, Alon Y. Levy
    Using Probabilistic Information in Data Integration. [Citation Graph (5, 10)][DBLP]
    VLDB, 1997, pp:216-225 [Conf]
  2. Daphne Koller, Alon Y. Levy, Avi Pfeffer
    P-CLASSIC: A Tractable Probablistic Description Logic. [Citation Graph (1, 0)][DBLP]
    AAAI/IAAI, 1997, pp:390-397 [Conf]
  3. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Asymptotic Conditional Probabilities for First-Order Logic [Citation Graph (1, 0)][DBLP]
    STOC, 1992, pp:294-305 [Conf]
  4. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Forming Beliefs about a Changing World. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:222-229 [Conf]
  5. Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern
    From Statistics to Beliefs. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:602-608 [Conf]
  6. Xavier Boyen, Daphne Koller
    Exploiting the Architecture of Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:313-320 [Conf]
  7. Urszula Chajewska, Daphne Koller, Ronald Parr
    Making Rational Decisions Using Adaptive Utility Elicitation. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:363-369 [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. Carlos Guestrin, Shobha Venkataraman, Daphne Koller
    Context-Specific Multiagent Coordination and Planning with Factored MDPs. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:253-259 [Conf]
  11. Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, B. Rao, Stuart J. Russell, Joseph Weber
    Automatic Symbolic Traffic Scene Analysis Using Belief Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:966-972 [Conf]
  12. Daphne Koller
    Structured Probabilistic Models: Bayesian Networks and Beyond. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:1210-1211 [Conf]
  13. Daphne Koller, Joseph Y. Halpern
    Irrelevance and Conditioning in First-Order Probabilistic Logic. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:569-576 [Conf]
  14. Daphne Koller, David A. McAllester, Avi Pfeffer
    Effective Bayesian Inference for Stochastic Programs. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:740-747 [Conf]
  15. Daphne Koller, Avi Pfeffer
    Probabilistic Frame-Based Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:580-587 [Conf]
  16. Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas
    Bayesian Fault Detection and Diagnosis in Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:531-537 [Conf]
  17. Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit
    FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:593-598 [Conf]
  18. Avi Pfeffer, Daphne Koller
    Semantics and Inference for Recursive Probability Models. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:538-544 [Conf]
  19. Simon Tong, Daphne Koller
    Restricted Bayes Optimal Classifiers. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:658-664 [Conf]
  20. David Vickrey, Daphne Koller
    Multi-Agent Algorithms for Solving Graphical Games. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:345-351 [Conf]
  21. Daphne Koller
    Multi-Agent Planning in Complex Uncertain Environments. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:2- [Conf]
  22. Joan Feigenbaum, Daphne Koller, Peter W. Shor
    A Game-Theoretic Classification of Interactive Complexity Classes. [Citation Graph (0, 0)][DBLP]
    Structure in Complexity Theory Conference, 1995, pp:227-237 [Conf]
  23. Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng
    Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:169-176 [Conf]
  24. Gal Elidan, Geremy Heitz, Daphne Koller
    Learning Object Shape: From Drawings to Images. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:2064-2071 [Conf]
  25. Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller
    Object Pose Detection in Range Scan Data. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:2445-2452 [Conf]
  26. Sabine Glesner, Daphne Koller
    Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1995, pp:217-226 [Conf]
  27. Hagit Attiya, Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg, Rüdiger Reischuk
    Achievable Cases in an Asynchronous Environment (Extended Abstract) [Citation Graph (0, 0)][DBLP]
    FOCS, 1987, pp:337-346 [Conf]
  28. David R. Karger, Daphne Koller
    (De)randomized Construction of Small Sample Spaces in \calNC [Citation Graph (0, 0)][DBLP]
    FOCS, 1994, pp:252-263 [Conf]
  29. David R. Karger, Daphne Koller, Steven J. Phillips
    Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths [Citation Graph (0, 0)][DBLP]
    FOCS, 1991, pp:560-568 [Conf]
  30. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Generating Degrees of Belief from Statistical Information: An Overview. [Citation Graph (0, 0)][DBLP]
    FSTTCS, 1993, pp:318-325 [Conf]
  31. Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik
    An Integrated Stereo-Based Approach to Automatic Vehicle Guidance. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:52-57 [Conf]
  32. Urszula Chajewska, Daphne Koller, Dirk Ormoneit
    Learning an Agent's Utility Function by Observing Behavior. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:35-42 [Conf]
  33. 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]
  34. Daphne Koller, Raya Fratkina
    Using Learning for Approximation in Stochastic Processes. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:287-295 [Conf]
  35. Daphne Koller, Mehran Sahami
    Toward Optimal Feature Selection. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:284-292 [Conf]
  36. Daphne Koller, Mehran Sahami
    Hierarchically Classifying Documents Using Very Few Words. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:170-178 [Conf]
  37. Rajat Raina, Andrew Y. Ng, Daphne Koller
    Constructing informative priors using transfer learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:713-720 [Conf]
  38. Benjamin Taskar, Vassil Chatalbashev, Daphne Koller
    Learning associative Markov networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  39. Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin
    Learning structured prediction models: a large margin approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:896-903 [Conf]
  40. Benjamin Taskar, Ming Fai Wong, Daphne Koller
    Learning on the Test Data: Leveraging Unseen Features. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:744-751 [Conf]
  41. Simon Tong, Daphne Koller
    Support Vector Machine Active Learning with Application sto Text Classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:999-1006 [Conf]
  42. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Statistical Foundations for Default Reasoning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:563-569 [Conf]
  43. Ben Blum, Christian R. Shelton, Daphne Koller
    A Continuation Method for Nash Equilibria in Structured Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:757-764 [Conf]
  44. Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    Learning Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1300-1309 [Conf]
  45. Joseph Y. Halpern, Daphne Koller
    Representation Dependence in Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1853-1861 [Conf]
  46. Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia
    Generalizing Plans to New Environments in Relational MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1003-1010 [Conf]
  47. Carlos Guestrin, Daphne Koller, Ronald Parr
    Max-norm Projections for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:673-682 [Conf]
  48. Michael J. Kearns, Daphne Koller
    Efficient Reinforcement Learning in Factored MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:740-747 [Conf]
  49. Daphne Koller, Brian Milch
    Multi-Agent Influence Diagrams for Representing and Solving Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:1027-1036 [Conf]
  50. Daphne Koller, Avi Pfeffer
    Generating and Solving Imperfect Information Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1185-1193 [Conf]
  51. Daphne Koller, Avi Pfeffer
    Learning Probabilities for Noisy First-Order Rules. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1316-1323 [Conf]
  52. Daphne Koller, Ronald Parr
    Computing Factored Value Functions for Policies in Structured MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1332-1339 [Conf]
  53. Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit
    FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1151-1156 [Conf]
  54. Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa
    Local Learning in Probabilistic Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1146-1152 [Conf]
  55. Benjamin Taskar, Eran Segal, Daphne Koller
    Probabilistic Classification and Clustering in Relational Data. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:870-878 [Conf]
  56. Simon Tong, Daphne Koller
    Active Learning for Structure in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:863-869 [Conf]
  57. Daphne Koller
    Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:3-13 [Conf]
  58. 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]
  59. Eran Segal, Haidong Wang, Daphne Koller
    Discovering molecular pathways from protein interaction and gene expression data. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2003, pp:264-272 [Conf]
  60. Eran Segal, R. Yelensky, Daphne Koller
    Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2003, pp:273-282 [Conf]
  61. Daphne Koller
    Statistical learning from relational data. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:4- [Conf]
  62. Daphne Koller, Joseph Y. Halpern
    A Logic for Approximate Reasoning. [Citation Graph (0, 0)][DBLP]
    KR, 1992, pp:153-164 [Conf]
  63. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Random Worlds and Maximum Entropy [Citation Graph (0, 0)][DBLP]
    LICS, 1992, pp:22-33 [Conf]
  64. David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller
    Word-Sense Disambiguation for Machine Translation. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  65. Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis
    The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  66. Xavier Boyen, Daphne Koller
    Approximate Learning of Dynamic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:396-402 [Conf]
  67. 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]
  68. Carlos Guestrin, Daphne Koller, Ronald Parr
    Multiagent Planning with Factored MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1523-1530 [Conf]
  69. Andrew Y. Ng, Ronald Parr, Daphne Koller
    Policy Search via Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:1022-1028 [Conf]
  70. Andrés Rodríguez, Ronald Parr, Daphne Koller
    Reinforcement Learning Using Approximate Belief States. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:1036-1042 [Conf]
  71. Eran Segal, Daphne Koller, Dirk Ormoneit
    Probabilistic Abstraction Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:913-920 [Conf]
  72. Benjamin Taskar, Carlos Guestrin, Daphne Koller
    Max-Margin Markov Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  73. Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller
    Link Prediction in Relational Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  74. Simon Tong, Daphne Koller
    Active Learning for Parameter Estimation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:647-653 [Conf]
  75. Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag
    Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  76. Eran Segal, Alexis Battle, Daphne Koller
    Decomposing Gene Expression into Cellular Processes. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:89-100 [Conf]
  77. Alexis Battle, Eran Segal, Daphne Koller
    Probabilistic discovery of overlapping cellular processes and their regulation. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2004, pp:167-176 [Conf]
  78. 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]
  79. Eran Segal, Daphne Koller
    Probabilistic hierarchical clustering for biological data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2002, pp:273-280 [Conf]
  80. Marie desJardins, Lise Getoor, Daphne Koller
    Using Feature Hierarchies in Bayesian Network Learning. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:260-270 [Conf]
  81. Lise Getoor, Benjamin Taskar, Daphne Koller
    Selectivity Estimation using Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2001, pp:461-472 [Conf]
  82. Daphne Koller, Nimrod Megiddo
    Constructing small sample spaces satisfying given constraints. [Citation Graph (0, 0)][DBLP]
    STOC, 1993, pp:268-277 [Conf]
  83. Daphne Koller, Nimrod Megiddo, Bernhard von Stengel
    Fast algorithms for finding randomized strategies in game trees. [Citation Graph (0, 0)][DBLP]
    STOC, 1994, pp:750-759 [Conf]
  84. 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]
  85. Xavier Boyen, Daphne Koller
    Tractable Inference for Complex Stochastic Processes. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:33-42 [Conf]
  86. Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
    Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:10-17 [Conf]
  87. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Generating New Beliefs from Old. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:37-45 [Conf]
  88. Eric Bauer, Daphne Koller, Yoram Singer
    Update Rules for Parameter Estimation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:3-13 [Conf]
  89. 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]
  90. Urszula Chajewska, Daphne Koller
    Utilities as Random Variables: Density Estimation and Structure Discovery. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:63-71 [Conf]
  91. Nir Friedman, Daphne Koller
    Being Bayesian about Network Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:201-210 [Conf]
  92. Adam J. Grove, Daphne Koller
    Probability Estimation in Face of Irrelevant Information. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:127-134 [Conf]
  93. Daphne Koller, Uri Lerner, Dragomir Anguelov
    A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:324-333 [Conf]
  94. Daphne Koller, Ronald Parr
    Policy Iteration for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:326-334 [Conf]
  95. Daphne Koller, Avi Pfeffer
    Object-Oriented Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:302-313 [Conf]
  96. Alexander V. Kozlov, Daphne Koller
    Nonuniform Dynamic Discretization in Hybrid Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:314-325 [Conf]
  97. Keiji Kanazawa, Daphne Koller, Stuart J. Russell
    Stochastic simulation algorithms for dynamic probabilistic networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:346-351 [Conf]
  98. Uri Lerner, Brooks Moses, Scott Maricia, Sheila A. McIlraith, Daphne Koller
    Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:301-310 [Conf]
  99. Uri Lerner, Eran Segal, Daphne Koller
    Exact Inference in Networks with Discrete Children of Continuous Parents. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:319-328 [Conf]
  100. Uri Nodelman, Christian R. Shelton, Daphne Koller
    Continuous Time Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:378-387 [Conf]
  101. Uri Nodelman, Christian R. Shelton, Daphne Koller
    Learning Continuous Time Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:451-458 [Conf]
  102. Brian Milch, Daphne Koller
    Probabilistic Models for Agent's Beliefs and Decisions. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:389-396 [Conf]
  103. Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa
    SPOOK: A system for probabilistic object-oriented knowledge representation. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:541-550 [Conf]
  104. 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]
  105. Benjamin Taskar, Pieter Abbeel, Daphne Koller
    Discriminative Probabilistic Models for Relational Data. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:485-492 [Conf]
  106. Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg
    Fault-Tolerant Critical Section Management in Asynchronous Networks. [Citation Graph (0, 0)][DBLP]
    WDAG, 1989, pp:13-23 [Conf]
  107. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    From Statistical Knowledge Bases to Degrees of Belief. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:87, n:1-2, pp:75-143 [Journal]
  108. Daphne Koller, Avi Pfeffer
    Representations and Solutions for Game-Theoretic Problems. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:94, n:1-2, pp:167-215 [Journal]
  109. Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small
    Understanding tuberculosis epidemiology using structured statistical models. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:30, n:3, pp:233-256 [Journal]
  110. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    A Response to "Believing on the Basis of the Evidence". [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1994, v:10, n:, pp:21-25 [Journal]
  111. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    From Statistical Knowledge Bases to Degrees of Belief [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  112. Joseph Y. Halpern, Daphne Koller
    Representation Dependence in Probabilistic Inference [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  113. Nir Friedman, Joseph Y. Halpern, Daphne Koller
    First-Order Conditional Logic Revisited [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  114. Daphne Koller
    Structured Representations and Intractability. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 1996, v:28, n:4es, pp:8- [Journal]
  115. Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg
    Fault-Tolerant Critical Section Management in Asynchronous Environments [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1991, v:95, n:1, pp:1-20 [Journal]
  116. Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte
    Simultaneous Localization and Mapping with Sparse Extended Information Filters. [Citation Graph (0, 0)][DBLP]
    I. J. Robotic Res., 2004, v:23, n:7-8, pp:693-716 [Journal]
  117. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Random Worlds and Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1994, v:2, n:, pp:33-88 [Journal]
  118. Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
    Efficient Solution Algorithms for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2003, v:19, n:, pp:399-468 [Journal]
  119. Joseph Y. Halpern, Daphne Koller
    Representation Dependence in Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:21, n:, pp:319-356 [Journal]
  120. David R. Karger, Daphne Koller
    (De)randomized Construction of Small Sample Spaces in NC. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1997, v:55, n:3, pp:402-413 [Journal]
  121. 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]
  122. Simon Tong, Daphne Koller
    Support Vector Machine Active Learning with Applications to Text Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:45-66 [Journal]
  123. 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]
  124. Pieter Abbeel, Daphne Koller, Andrew Y. Ng
    Learning Factor Graphs in Polynomial Time and Sample Complexity. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1743-1788 [Journal]
  125. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Asymptotic Conditional Probabilities: The Non-Unary Case. [Citation Graph (0, 0)][DBLP]
    J. Symb. Log., 1996, v:61, n:1, pp:250-276 [Journal]
  126. John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa
    Adaptive Probabilistic Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:213-244 [Journal]
  127. 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]
  128. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
    Asymptotic Conditional Probabilities: The Unary Case. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1996, v:25, n:1, pp:1-51 [Journal]
  129. David R. Karger, Daphne Koller, Steven J. Phillips
    Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1993, v:22, n:6, pp:1199-1217 [Journal]
  130. Daphne Koller, Nimrod Megiddo
    Constructing Small Sample Spaces Satisfying Given Constants. [Citation Graph (0, 0)][DBLP]
    SIAM J. Discrete Math., 1994, v:7, n:2, pp:260-274 [Journal]
  131. 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]
  132. Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis
    SCAPE: shape completion and animation of people. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Graph., 2005, v:24, n:3, pp:408-416 [Journal]
  133. Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller
    Learning a meta-level prior for feature relevance from multiple related tasks. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:489-496 [Conf]
  134. Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun
    Detecting and Modeling Doors with Mobile Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:3777-3784 [Conf]
  135. John Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller
    Using Combinatorial Optimization within Max-Product Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:369-376 [Conf]
  136. Su-In Lee, Varun Ganapathi, Daphne Koller
    Efficient Structure Learning of Markov Networks using $L_1$-Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:817-824 [Conf]
  137. Alexis Battle, Gal Chechik, Daphne Koller
    Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:121-128 [Conf]
  138. Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
    Max-margin classification of incomplete data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:233-240 [Conf]
  139. Uri Nodelman, Christian R. Shelton, Daphne Koller
    Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:- [Conf]
  140. Uri Nodelman, Daphne Koller, Christian R. Shelton
    Expectation Propagation for Continuous Time Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:431-440 [Conf]
  141. Marc Teyssier, Daphne Koller
    Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:548-549 [Conf]
  142. Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
    Recovering Articulated Object Models from 3D Range Data. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:18-26 [Conf]
  143. Pieter Abbeel, Daphne Koller, Andrew Y. Ng
    Learning Factor Graphs in Polynomial Time & Sample Complexity. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:1-9 [Conf]
  144. Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
    Continuous Time Markov Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  145. Gal Elidan, Ian McGraw, Daphne Koller
    Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  146. Ben Blum, Christian R. Shelton, Daphne Koller
    A Continuation Method for Nash Equilibria in Structured Games. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:25, n:, pp:457-502 [Journal]

  147. Sentence Simplification for Semantic Role Labeling. [Citation Graph (, )][DBLP]


  148. Alphabet SOUP: A framework for approximate energy minimization. [Citation Graph (, )][DBLP]


  149. Learning Spatial Context: Using Stuff to Find Things. [Citation Graph (, )][DBLP]


  150. Non-Local Contrastive Objectives. [Citation Graph (, )][DBLP]


  151. Accelerated dual decomposition for MAP inference. [Citation Graph (, )][DBLP]


  152. Real-time identification and localization of body parts from depth images. [Citation Graph (, )][DBLP]


  153. Shape-Based Object Localization for Descriptive Classification. [Citation Graph (, )][DBLP]


  154. Cascaded Classification Models: Combining Models for Holistic Scene Understanding. [Citation Graph (, )][DBLP]


  155. Genovo: De Novo Assembly for Metagenomes. [Citation Graph (, )][DBLP]


  156. Constrained Approximate Maximum Entropy Learning of Markov Random Fields. [Citation Graph (, )][DBLP]


  157. Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. [Citation Graph (, )][DBLP]


  158. Projected Subgradient Methods for Learning Sparse Gaussians. [Citation Graph (, )][DBLP]


  159. Online Word Games for Semantic Data Collection. [Citation Graph (, )][DBLP]


  160. Max-Margin Parsing. [Citation Graph (, )][DBLP]


  161. Discovering shared and individual latent structure in multiple time series [Citation Graph (, )][DBLP]


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