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"Ideal Parent" Structure Learning for Continuous Variable Networks |
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Iftach Nachman
, Gal Elidan
, Nir Friedman
|
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A Bayesian Approach toward Active Learning for Collaborative Filtering |
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Rong Jin
, Luo Si
|
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A Complete Anytime Algorithm for Treewidth |
|
Vibhav Gogate
, Rina Dechter
|
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A Generative Bayesian Model for Aggregating Experts' Probabilities |
|
Joseph Kahn
|
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A Hierarchical Graphical Model for Record Linkage |
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Pradeep Ravikumar
, William Cohen
|
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A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge |
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Carlos Chesnevar
, Guillermo Simari
, Teresa Alsinet
, Lluis Godo
|
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A New Characterization of Probabilities in Bayesian Networks |
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Lenhart Schubert
|
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A Unified framework for order-of-magnitude confidence relations |
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Didier Dubois
, Helene Fargier
|
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Active Model Selection |
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Omid Madani
, Daniel Lizotte
, Russell Greiner
|
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Algebraic Statistics in Model Selection |
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Luis Garcia
|
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An Empirical Evaluation of Possible Variations of Lazy Propagation |
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Anders Madsen
|
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An Extended Cencov-Campbell Characterization of Conditional Information Geometry |
|
Guy Lebanon
|
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An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching |
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Ben Wellner
, Andrew McCallum
, Fuchun Peng
, Michael Hay
|
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Annealed MAP |
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Changhe Yuan
, Tsai-Ching Lu
, Marek Druzdzel
|
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Applying Discrete PCA in Data Analysis |
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Wray Buntine
, Aleks Jakulin
|
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ARMA Time-Series Modeling with Graphical Models |
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Bo Thiesson
, David Chickering
, David Heckerman
, Christopher Meek
|
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Bayesian Biosurveillance of Disease Outbreaks |
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Gregory Cooper
, Denver Dash
, John Levander
, Weng-Keen Wong
, William Hogan
, Michael Wagner
|
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Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms |
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Iain Murray
, Zoubin Ghahramani
|
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Bidding under Uncertainty: Theory and Experiments |
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Amy Greenwald
, Justin Boyan
|
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Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences |
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Cosma Shalizi
, Kristina Klinkner
|
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Case-Factor Diagrams for Structured Probabilistic Modeling |
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David McAllester
, Michael Collins
, Fernando Pereira
|
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Compact Value-Function Representations for Qualitative Preferences |
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Ronen Brafman
, Carmel Domshlak
, Tanya Kogan
|
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Computing Best-Response Strategies in Infinite Games of Incomplete Information |
|
Daniel Reeves
, Michael Wellman
|
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Computing Nash Equilibria of Action-Graph Games |
|
Navin Bhat
, Kevin Leyton-Brown
|
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Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series |
|
Sergey Kirshner
, Padhraic Smyth
, Andrew Robertson
|
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Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values |
|
Bo Wang
, D. Titterington
|
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Convolutional Factor Graphs as Probabilistic Models |
|
Yongyi Mao
, Frank Kschischang
, Brendan Frey
|
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Decision Making for Symbolic Probability |
|
Phan Giang
, Sathyakama Sandilya
|
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Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters |
|
Peter Hooper
|
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Discretized Approximations for POMDP with Average Cost |
|
Huizhen Yu
, Dimitri Bertsekas
|
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Dynamic Programming for Structured Continuous Markov Decision Problems |
|
Zhengzhu Feng
, Richard Dearden
, Nicolas Meuleau
, Richard Washington
|
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Dynamical Systems Trees |
|
Andrew Howard
, Tony Jebara
|
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Evidence-invariant Sensitivity Bounds |
|
Silja Renooij
, Linda van der Gaag
|
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Exploiting First-Order Regression in Inductive Policy Selection |
|
Charles Gretton
, Sylvie Thiebaux
|
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Exponential Families for Conditional Random Fields |
|
Yasemin Altun
, Alex Smola
, Thomas Hofmann
|
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Factored Latent Analysis for far-field tracking data |
|
Chris Stauffer
|
 |
From Fields to Trees |
|
Firas Hamze
, Nando de Freitas
|
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Graph partition strategies for generalized mean field inference |
|
Eric Xing
, Michael Jordan
, Stuart Russell
|
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Heuristic Search Value Iteration for POMDPs |
|
Trey Smith
, Reid Simmons
|
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Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials |
|
Barry Cobb
, Prakash Shenoy
|
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Identifying Conditional Causal Effects |
|
Jin Tian
|
 |
Iterative Conditional Fitting for Gaussian Ancestral Graph Models |
|
Mathias Drton
, Thomas Richardson
|
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Joint discovery of haplotype blocks and complex trait associations from SNP sequences |
|
Nebojsa Jojic
, Vladimir Jojic
, David Heckerman
|
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Learning Diagnostic Policies from Examples by Systematic Search |
|
Valentina Bayer-Zubek
|
 |
Linear Contour Learning: A Method for Supervised Dimension Reduction |
|
Bing Li
, Hongyuan Zha
, Francesca Chiaromonte
|
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Maximum Entropy for Collaborative Filtering |
|
Lawrence Zitnick
, Takeo Kanade
|
 |
Metrics for Finite Markov Decision Processes |
|
Norman Ferns
, Prakash Panangaden
, Doina Precup
|
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Mixtures of Deterministic-Probabilistic Networks and their AND/OR Search Space |
|
Rina Dechter
, Robert Mateescu
|
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MOB-ESP and other Improvements in Probability Estimation |
|
Rodney Nielsen
|
 |
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models |
|
Seyoung Kim
, Padhraic Smyth
, Stefan Luther
|
 |
Monotonicity in Bayesian Networks |
|
Linda van der Gaag
, Hans Bodlaender
, Ad Feelders
|
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On finding minimal w-cutset |
|
Bozhena Bidyuk
, Rina Dechter
|
 |
On Modeling Profiles instead of Values |
|
Alon Orlitsky
, Narayana Santhanam
, Krishnamurthy Viswanathan
, Junan Zhang
|
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On the Choice of Regions for Generalized Belief Propagation |
|
Max Welling
|
 |
On-line Prediction with Kernels and the Complexity Approximation Principle |
|
Alex Gammerman
, Yuri Kalnishkan
, Vladimir Vovk
|
 |
PAC-learning bounded tree-width Graphical Models |
|
Mukund Narasimhan
, Jeff Bilmes
|
 |
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in Sheep |
|
Ludmila Kuncheva
, C. Whitaker
, P. Cockcroft
, Z. Hoare
|
 |
Predictive State Representations: A New Theory for Modeling Dynamical Systems |
|
Satinder Singh
, Michael James
, Matthew Rudary
|
 |
Probabilistic index maps for modeling natural signals |
|
Nebojsa Jojic
, Yaron Caspi
, Manuel Reyes-Gomez
|
 |
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments |
|
Fabio Cozman
, Cassio de Campos
, Jaime Ide
, Jose Ferreira da Rocha
|
 |
Recovering Articulated Object Models from 3D Range Data |
|
Dragomir Anguelov
, Daphne Koller
, Hoi-Cheung Pang
, Praveen Srinivasan
, Sebastian Thrun
|
 |
Region-Based Incremental Pruning for POMDPs |
|
Zhengzhu Feng
, Shlomo Zilberstein
|
 |
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty |
|
Nathanael Hyafil
, Craig Boutilier
|
 |
Reputation Systems: An Axiomatic Approach |
|
Moshe Tennenholtz
|
 |
Robust Probabilistic Inference in Distributed Systems |
|
Mark Paskin
, Carlos Guestrin
|
 |
Robustness of Causal Claims |
|
Judea Pearl
|
 |
Selection of Identifiability Criteria for Total Effects by using Path Diagrams |
|
Manabu Kuroki
, Zhihong Cai
|
 |
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters |
|
Hei Chan
, Adnan Darwiche
|
 |
Sequential Information Elicitation in Multi-Agent Systems |
|
Rann Smorodinsky
, Moshe Tennenholtz
|
 |
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering |
|
Xuejian Xiong
, Kap Chan
, Kian Lee Tan
|
 |
Solving Factored MDPs with Continuous and Discrete Variables |
|
Carlos Guestrin
, Milos Hauskrecht
, Branislav Kveton
|
 |
Stable Independance and Complexity of Representation |
|
Peter de Waal
, Linda van der Gaag
|
 |
The Author-Topic Model for Authors and Documents |
|
Michal Rosen-Zvi
, Thomas Griffiths
, Mark Steyvers
, Padhraic Smyth
|
 |
The Minimum Information Principle for Discriminative Learning |
|
Amir Globerson
, Naftali Tishby
|
 |
Using arguments for making decisions: A possibilistic logic approach |
|
Leila Amgoud
, Henri Prade
|
 |
Variational Chernoff Bounds for Graphical Models |
|
Pradeep Ravikumar
, John Lafferty
|
 |
When Ignorance is Bliss |
|
Peter Grunwald
, Joseph Halpern
|