 | 2009 |
|---|
| 160 |       | Daphne Koller,
Dale Schuurmans,
Yoshua Bengio,
Léon Bottou:
Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008
MIT Press 2009 |
| 159 |  | Stephen Gould,
Fernando Amat,
Daphne Koller:
Alphabet SOUP: A framework for approximate energy minimization.
CVPR 2009: 903-910 |
| 158 | | Geremy Heitz,
Gal Elidan,
Benjamin Packer,
Daphne Koller:
Shape-Based Object Localization for Descriptive Classification.
International Journal of Computer Vision 84(1): 40-62 (2009) |
| 2008 |
|---|
| 157 | | John C. Platt,
Daphne Koller,
Yoram Singer,
Sam T. Roweis:
Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007
MIT Press 2008 |
| 156 | | Geremy Heitz,
Daphne Koller:
Learning Spatial Context: Using Stuff to Find Things.
ECCV (1) 2008: 30-43 |
| 155 | | David Vickrey,
Aaron Bronzan,
William Choi,
Aman Kumar,
Jason Turner-Maier,
Arthur Wang,
Daphne Koller:
Online Word Games for Semantic Data Collection.
EMNLP 2008: 533-542 |
| 154 | | Geremy Heitz,
Gal Elidan,
Benjamin Packer,
Daphne Koller:
Shape-Based Object Localization for Descriptive Classification.
NIPS 2008: 633-640 |
| 153 | | Geremy Heitz,
Stephen Gould,
Ashutosh Saxena,
Daphne Koller:
Cascaded Classification Models: Combining Models for Holistic Scene Understanding.
NIPS 2008: 641-648 |
| 152 | | John Duchi,
Stephen Gould,
Daphne Koller:
Projected Subgradient Methods for Learning Sparse Gaussians.
UAI 2008: 145-152 |
| 151 | | Gal Elidan,
Benjamin Packer,
Geremy Heitz,
Daphne Koller:
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.
UAI 2008: 179-186 |
| 150 | | Varun Ganapathi,
David Vickrey,
John Duchi,
Daphne Koller:
Constrained Approximate Maximum Entropy Learning of Markov Random Fields.
UAI 2008: 196-203 |
| 149 | | Stephen Gould,
Jim Rodgers,
David Cohen,
Gal Elidan,
Daphne Koller:
Multi-Class Segmentation with Relative Location Prior.
International Journal of Computer Vision 80(3): 300-316 (2008) |
| 2007 |
|---|
| 148 | | Su-In Lee,
Vassil Chatalbashev,
David Vickrey,
Daphne Koller:
Learning a meta-level prior for feature relevance from multiple related tasks.
ICML 2007: 489-496 |
| 2006 |
|---|
| 147 | | Gal Elidan,
Geremy Heitz,
Daphne Koller:
Learning Object Shape: From Drawings to Images.
CVPR (2) 2006: 2064-2071 |
| 146 | | Jim Rodgers,
Dragomir Anguelov,
Hoi-Cheung Pang,
Daphne Koller:
Object Pose Detection in Range Scan Data.
CVPR (2) 2006: 2445-2452 |
| 145 | | Rajat Raina,
Andrew Y. Ng,
Daphne Koller:
Constructing informative priors using transfer learning.
ICML 2006: 713-720 |
| 144 | | Alexis Battle,
Gal Chechik,
Daphne Koller:
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.
NIPS 2006: 121-128 |
| 143 | | Gal Chechik,
Geremy Heitz,
Gal Elidan,
Pieter Abbeel,
Daphne Koller:
Max-margin classification of incomplete data.
NIPS 2006: 233-240 |
| 142 | | John Duchi,
Daniel Tarlow,
Gal Elidan,
Daphne Koller:
Using Combinatorial Optimization within Max-Product Belief Propagation.
NIPS 2006: 369-376 |
| 141 | | Su-In Lee,
Varun Ganapathi,
Daphne Koller:
Efficient Structure Learning of Markov Networks using $L_1$-Regularization.
NIPS 2006: 817-824 |
| 140 | | Tal El-Hay,
Nir Friedman,
Daphne Koller,
Raz Kupferman:
Continuous Time Markov Networks.
UAI 2006 |
| 139 | | Gal Elidan,
Ian McGraw,
Daphne Koller:
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing.
UAI 2006 |
| 138 | | Ben Blum,
Christian R. Shelton,
Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games.
J. Artif. Intell. Res. (JAIR) 25: 457-502 (2006) |
| 137 | | Pieter Abbeel,
Daphne Koller,
Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time and Sample Complexity.
Journal of Machine Learning Research 7: 1743-1788 (2006) |
| 2005 |
|---|
| 136 | | 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.
CVPR (2) 2005: 169-176 |
| 135 | | David Vickrey,
Luke Biewald,
Marc Teyssier,
Daphne Koller:
Word-Sense Disambiguation for Machine Translation.
HLT/EMNLP 2005 |
| 134 | | Benjamin Taskar,
Vassil Chatalbashev,
Daphne Koller,
Carlos Guestrin:
Learning structured prediction models: a large margin approach.
ICML 2005: 896-903 |
| 133 | | Uri Nodelman,
Christian R. Shelton,
Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.
UAI 2005 |
| 132 | | Pieter Abbeel,
Daphne Koller,
Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity.
UAI 2005: 1-9 |
| 131 | | Uri Nodelman,
Daphne Koller,
Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks.
UAI 2005: 431-440 |
| 130 | | Marc Teyssier,
Daphne Koller:
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks.
UAI 2005: 548-549 |
| 129 | | Dragomir Anguelov,
Praveen Srinivasan,
Daphne Koller,
Sebastian Thrun,
Jim Rodgers,
James Davis:
SCAPE: shape completion and animation of people.
ACM Trans. Graph. 24(3): 408-416 (2005) |
| 128 | | Alexis Battle,
Eran Segal,
Daphne Koller:
Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation.
Journal of Computational Biology 12(7): 909-927 (2005) |
| 127 | | Eran Segal,
Dana Pe'er,
Aviv Regev,
Daphne Koller,
Nir Friedman:
Learning Module Networks.
Journal of Machine Learning Research 6: 557-588 (2005) |
| 2004 |
|---|
| 126 | | Daphne Koller:
Multi-Agent Planning in Complex Uncertain Environments.
AAMAS 2004: 2 |
| 125 | | Benjamin Taskar,
Vassil Chatalbashev,
Daphne Koller:
Learning associative Markov networks.
ICML 2004 |
| 124 | | Dragomir Anguelov,
Daphne Koller,
Evan Parker,
Sebastian Thrun:
Detecting and Modeling Doors with Mobile Robots.
ICRA 2004: 3777-3784 |
| 123 | | Haidong Wang,
Eran Segal,
Asa Ben-Hur,
Daphne Koller,
Douglas L. Brutlag:
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale.
NIPS 2004 |
| 122 | | Dragomir Anguelov,
Praveen Srinivasan,
Hoi-Cheung Pang,
Daphne Koller,
Sebastian Thrun,
James Davis:
The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces.
NIPS 2004 |
| 121 | | Alexis Battle,
Eran Segal,
Daphne Koller:
Probabilistic discovery of overlapping cellular processes and their regulation.
RECOMB 2004: 167-176 |
| 120 | | Dragomir Anguelov,
Daphne Koller,
Hoi-Cheung Pang,
Praveen Srinivasan,
Sebastian Thrun:
Recovering Articulated Object Models from 3D Range Data.
UAI 2004: 18-26 |
| 119 | | Lise Getoor,
Jeanne T. Rhee,
Daphne Koller,
Peter Small:
Understanding tuberculosis epidemiology using structured statistical models.
Artificial Intelligence in Medicine 30(3): 233-256 (2004) |
| 118 | | Sebastian Thrun,
Yufeng Liu,
Daphne Koller,
Andrew Y. Ng,
Zoubin Ghahramani,
Hugh F. Durrant-Whyte:
Simultaneous Localization and Mapping with Sparse Extended Information Filters.
I. J. Robotic Res. 23(7-8): 693-716 (2004) |
| 117 | | Joseph Y. Halpern,
Daphne Koller:
Representation Dependence in Probabilistic Inference.
J. Artif. Intell. Res. (JAIR) 21: 319-356 (2004) |
| 2003 |
|---|
| 116 | | Benjamin Taskar,
Ming Fai Wong,
Daphne Koller:
Learning on the Test Data: Leveraging Unseen Features.
ICML 2003: 744-751 |
| 115 | | Carlos Guestrin,
Daphne Koller,
Chris Gearhart,
Neal Kanodia:
Generalizing Plans to New Environments in Relational MDPs.
IJCAI 2003: 1003-1010 |
| 114 | | Michael Montemerlo,
Sebastian Thrun,
Daphne Koller,
Ben Wegbreit:
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges.
IJCAI 2003: 1151-1156 |
| 113 | | Ben Blum,
Christian R. Shelton,
Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games.
IJCAI 2003: 757-764 |
| 112 | | Eran Segal,
Haidong Wang,
Daphne Koller:
Discovering molecular pathways from protein interaction and gene expression data.
ISMB (Supplement of Bioinformatics) 2003: 264-272 |
| 111 | | Eran Segal,
R. Yelensky,
Daphne Koller:
Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.
ISMB (Supplement of Bioinformatics) 2003: 273-282 |
| 110 | | Daphne Koller:
Statistical learning from relational data.
KDD 2003: 4 |
| 109 | | Benjamin Taskar,
Ming Fai Wong,
Pieter Abbeel,
Daphne Koller:
Link Prediction in Relational Data.
NIPS 2003 |
| 108 | | Benjamin Taskar,
Carlos Guestrin,
Daphne Koller:
Max-Margin Markov Networks.
NIPS 2003 |
| 107 | | Eran Segal,
Alexis Battle,
Daphne Koller:
Decomposing Gene Expression into Cellular Processes.
Pacific Symposium on Biocomputing 2003: 89-100 |
| 106 | | Uri Nodelman,
Christian R. Shelton,
Daphne Koller:
Learning Continuous Time Bayesian Networks.
UAI 2003: 451-458 |
| 105 | | Eran Segal,
Dana Pe'er,
Aviv Regev,
Daphne Koller,
Nir Friedman:
Learning Module Networks.
UAI 2003: 525-534 |
| 104 | | Fahiem Bacchus,
Adam J. Grove,
Joseph Y. Halpern,
Daphne Koller:
From Statistical Knowledge Bases to Degrees of Belief
CoRR cs.AI/0307056: (2003) |
| 103 | | Joseph Y. Halpern,
Daphne Koller:
Representation Dependence in Probabilistic Inference
CoRR cs.AI/0312048: (2003) |
| 102 | | Carlos Guestrin,
Daphne Koller,
Ronald Parr,
Shobha Venkataraman:
Efficient Solution Algorithms for Factored MDPs.
J. Artif. Intell. Res. (JAIR) 19: 399-468 (2003) |
| 101 | | Nir Friedman,
Daphne Koller:
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.
Machine Learning 50(1-2): 95-125 (2003) |
| 2002 |
|---|
| 100 | | Carlos Guestrin,
Shobha Venkataraman,
Daphne Koller:
Context-Specific Multiagent Coordination and Planning with Factored MDPs.
AAAI/IAAI 2002: 253-259 |
| 99 | | David Vickrey,
Daphne Koller:
Multi-Agent Algorithms for Solving Graphical Games.
AAAI/IAAI 2002: 345-351 |
| 98 | | Michael Montemerlo,
Sebastian Thrun,
Daphne Koller,
Ben Wegbreit:
FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem.
AAAI/IAAI 2002: 593-598 |
| 97 | | Eran Segal,
Yoseph Barash,
Itamar Simon,
Nir Friedman,
Daphne Koller:
From promoter sequence to expression: a probabilistic framework.
RECOMB 2002: 263-272 |
| 96 | | Eran Segal,
Daphne Koller:
Probabilistic hierarchical clustering for biological data.
RECOMB 2002: 273-280 |
| 95 | | Dragomir Anguelov,
Rahul Biswas,
Daphne Koller,
Benson Limketkai,
Sebastian Thrun:
Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.
UAI 2002: 10-17 |
| 94 | | Uri Lerner,
Brooks Moses,
Scott Maricia,
Sheila A. McIlraith,
Daphne Koller:
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net.
UAI 2002: 301-310 |
| 93 | | Uri Nodelman,
Christian R. Shelton,
Daphne Koller:
Continuous Time Bayesian Networks.
UAI 2002: 378-387 |
| 92 | | Benjamin Taskar,
Pieter Abbeel,
Daphne Koller:
Discriminative Probabilistic Models for Relational Data.
UAI 2002: 485-492 |
| 91 | | Lise Getoor,
Nir Friedman,
Daphne Koller,
Benjamin Taskar:
Learning Probabilistic Models of Link Structure.
Journal of Machine Learning Research 3: 679-707 (2002) |
| 2001 |
|---|
| 90 | | Jack S. Breese,
Daphne Koller:
UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001
Morgan Kaufmann 2001 |
| 89 | | Lise Getoor,
Nir Friedman,
Daphne Koller,
Benjamin Taskar:
Learning Probabilistic Models of Relational Structure.
ICML 2001: 170-177 |
| 88 | | Urszula Chajewska,
Daphne Koller,
Dirk Ormoneit:
Learning an Agent's Utility Function by Observing Behavior.
ICML 2001: 35-42 |
| 87 | | Daphne Koller,
Brian Milch:
Multi-Agent Influence Diagrams for Representing and Solving Games.
IJCAI 2001: 1027-1036 |
| 86 | | Carlos Guestrin,
Daphne Koller,
Ronald Parr:
Max-norm Projections for Factored MDPs.
IJCAI 2001: 673-682 |
| 85 | | Simon Tong,
Daphne Koller:
Active Learning for Structure in Bayesian Networks.
IJCAI 2001: 863-869 |
| 84 | | Benjamin Taskar,
Eran Segal,
Daphne Koller:
Probabilistic Classification and Clustering in Relational Data.
IJCAI 2001: 870-878 |
| 83 | | Eran Segal,
Benjamin Taskar,
Audrey Gasch,
Nir Friedman,
Daphne Koller:
Rich probabilistic models for gene expression.
ISMB (Supplement of Bioinformatics) 2001: 243-252 |
| 82 | | Carlos Guestrin,
Daphne Koller,
Ronald Parr:
Multiagent Planning with Factored MDPs.
NIPS 2001: 1523-1530 |
| 81 | | Eran Segal,
Daphne Koller,
Dirk Ormoneit:
Probabilistic Abstraction Hierarchies.
NIPS 2001: 913-920 |
| 80 | | Lise Getoor,
Benjamin Taskar,
Daphne Koller:
Selectivity Estimation using Probabilistic Models.
SIGMOD Conference 2001: 461-472 |
| 79 | | Uri Lerner,
Eran Segal,
Daphne Koller:
Exact Inference in Networks with Discrete Children of Continuous Parents.
UAI 2001: 319-328 |
| 78 | | Simon Tong,
Daphne Koller:
Support Vector Machine Active Learning with Applications to Text Classification.
Journal of Machine Learning Research 2: 45-66 (2001) |
| 2000 |
|---|
| 77 | | Urszula Chajewska,
Daphne Koller,
Ronald Parr:
Making Rational Decisions Using Adaptive Utility Elicitation.
AAAI/IAAI 2000: 363-369 |
| 76 | | Uri Lerner,
Ronald Parr,
Daphne Koller,
Gautam Biswas:
Bayesian Fault Detection and Diagnosis in Dynamic Systems.
AAAI/IAAI 2000: 531-537 |
| 75 | | Avi Pfeffer,
Daphne Koller:
Semantics and Inference for Recursive Probability Models.
AAAI/IAAI 2000: 538-544 |
| 74 | | Simon Tong,
Daphne Koller:
Restricted Bayes Optimal Classifiers.
AAAI/IAAI 2000: 658-664 |
| 73 | | Simon Tong,
Daphne Koller:
Support Vector Machine Active Learning with Application sto Text Classification.
ICML 2000: 999-1006 |
| 72 | | Gal Elidan,
Noam Lotner,
Nir Friedman,
Daphne Koller:
Discovering Hidden Variables: A Structure-Based Approach.
NIPS 2000: 479-485 |
| 71 | | Simon Tong,
Daphne Koller:
Active Learning for Parameter Estimation in Bayesian Networks.
NIPS 2000: 647-653 |
| 70 | | Marie desJardins,
Lise Getoor,
Daphne Koller:
Using Feature Hierarchies in Bayesian Network Learning.
SARA 2000: 260-270 |
| 69 | | Nir Friedman,
Daphne Koller:
Being Bayesian about Network Structure.
UAI 2000: 201-210 |
| 68 | | Daphne Koller,
Ronald Parr:
Policy Iteration for Factored MDPs.
UAI 2000: 326-334 |
| 67 | | Brian Milch,
Daphne Koller:
Probabilistic Models for Agent's Beliefs and Decisions.
UAI 2000: 389-396 |
| 66 | | Urszula Chajewska,
Daphne Koller:
Utilities as Random Variables: Density Estimation and Structure Discovery.
UAI 2000: 63-71 |
| 65 | | Nir Friedman,
Joseph Y. Halpern,
Daphne Koller:
First-order conditional logic for default reasoning revisited.
ACM Trans. Comput. Log. 1(2): 175-207 (2000) |
| 1999 |
|---|
| 64 | | Xavier Boyen,
Daphne Koller:
Exploiting the Architecture of Dynamic Systems.
AAAI/IAAI 1999: 313-320 |
| 63 | | Nir Friedman,
Lise Getoor,
Daphne Koller,
Avi Pfeffer:
Learning Probabilistic Relational Models.
IJCAI 1999: 1300-1309 |
| 62 | | Daphne Koller,
Ronald Parr:
Computing Factored Value Functions for Policies in Structured MDPs.
IJCAI 1999: 1332-1339 |
| 61 | | Michael J. Kearns,
Daphne Koller:
Efficient Reinforcement Learning in Factored MDPs.
IJCAI 1999: 740-747 |
| 60 | | Daphne Koller:
Probabilistic Relational Models.
ILP 1999: 3-13 |
| 59 | | Andrew Y. Ng,
Ronald Parr,
Daphne Koller:
Policy Search via Density Estimation.
NIPS 1999: 1022-1028 |
| 58 | | Andrés Rodríguez,
Ronald Parr,
Daphne Koller:
Reinforcement Learning Using Approximate Belief States.
NIPS 1999: 1036-1042 |
| 57 | | Daphne Koller,
Uri Lerner,
Dragomir Anguelov:
A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
UAI 1999: 324-333 |
| 56 | | Avi Pfeffer,
Daphne Koller,
Brian Milch,
Ken T. Takusagawa:
SPOOK: A system for probabilistic object-oriented knowledge representation.
UAI 1999: 541-550 |
| 55 | | Xavier Boyen,
Nir Friedman,
Daphne Koller:
Discovering the Hidden Structure of Complex Dynamic Systems.
UAI 1999: 91-100 |
| 1998 |
|---|
| 54 | | Daphne Koller:
Structured Probabilistic Models: Bayesian Networks and Beyond.
AAAI/IAAI 1998: 1210-1211 |
| 53 | | Nir Friedman,
Daphne Koller,
Avi Pfeffer:
Structured Representation of Complex Stochastic Systems.
AAAI/IAAI 1998: 157-164 |
| 52 | | Daphne Koller,
Avi Pfeffer:
Probabilistic Frame-Based Systems.
AAAI/IAAI 1998: 580-587 |
| 51 | | Daphne Koller,
Raya Fratkina:
Using Learning for Approximation in Stochastic Processes.
ICML 1998: 287-295 |
| 50 | | Xavier Boyen,
Daphne Koller:
Approximate Learning of Dynamic Models.
NIPS 1998: 396-402 |
| 49 | | Xavier Boyen,
Daphne Koller:
Tractable Inference for Complex Stochastic Processes.
UAI 1998: 33-42 |
| 48 | | Nir Friedman,
Joseph Y. Halpern,
Daphne Koller:
First-Order Conditional Logic Revisited
CoRR cs.AI/9808005: (1998) |
| 1997 |
|---|
| 47 | | Daphne Koller,
Alon Y. Levy,
Avi Pfeffer:
P-CLASSIC: A Tractable Probablistic Description Logic.
AAAI/IAAI 1997: 390-397 |
| 46 | | Daphne Koller,
David A. McAllester,
Avi Pfeffer:
Effective Bayesian Inference for Stochastic Programs.
AAAI/IAAI 1997: 740-747 |
| 45 | | Daphne Koller,
Mehran Sahami:
Hierarchically Classifying Documents Using Very Few Words.
ICML 1997: 170-178 |
| 44 | | Daphne Koller,
Avi Pfeffer:
Learning Probabilities for Noisy First-Order Rules.
IJCAI 1997: 1316-1323 |
| 43 | | Eric Bauer,
Daphne Koller,
Yoram Singer:
Update Rules for Parameter Estimation in Bayesian Networks.
UAI 1997: 3-13 |
| 42 | | Daphne Koller,
Avi Pfeffer:
Object-Oriented Bayesian Networks.
UAI 1997: 302-313 |
| 41 | | Alexander V. Kozlov,
Daphne Koller:
Nonuniform Dynamic Discretization in Hybrid Networks.
UAI 1997: 314-325 |
| 40 | | Daniela Florescu,
Daphne Koller,
Alon Y. Levy:
Using Probabilistic Information in Data Integration.
VLDB 1997: 216-225 |
| 39 | | Daphne Koller,
Avi Pfeffer:
Representations and Solutions for Game-Theoretic Problems.
Artif. Intell. 94(1-2): 167-215 (1997) |
| 38 | | David R. Karger,
Daphne Koller:
(De)randomized Construction of Small Sample Spaces in NC.
J. Comput. Syst. Sci. 55(3): 402-413 (1997) |
| 37 | | John Binder,
Daphne Koller,
Stuart J. Russell,
Keiji Kanazawa:
Adaptive Probabilistic Networks with Hidden Variables.
Machine Learning 29(2-3): 213-244 (1997) |
| 1996 |
|---|
| 36 | | Daphne Koller,
Joseph Y. Halpern:
Irrelevance and Conditioning in First-Order Probabilistic Logic.
AAAI/IAAI, Vol. 1 1996: 569-576 |
| 35 | | Nir Friedman,
Joseph Y. Halpern,
Daphne Koller:
First-Order Conditional Logic Revisited.
AAAI/IAAI, Vol. 2 1996: 1305-1312 |
| 34 | | Daphne Koller,
Mehran Sahami:
Toward Optimal Feature Selection.
ICML 1996: 284-292 |
| 33 | | Craig Boutilier,
Nir Friedman,
Moisés Goldszmidt,
Daphne Koller:
Context-Specific Independence in Bayesian Networks.
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