 |
A Bayesian Method for Causal Modeling and Discovery Under Selection |
|
Gregory Cooper
|
|
A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks |
|
Jin Tian
|
|
A Complete Calculus for Possibilistic Logic Programming with Fuzzy Propositional Variables |
|
Teresa Alsinet
, Lluis Godo
|
|
A Decision Theoretic Approach to Targeted Advertising |
|
David Chickering
, David Heckerman
|
|
A Differential Approach to Inference in Bayesian Networks |
|
Adnan Darwiche
|
|
A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters |
|
Claus Skaanning
|
|
A Principled Analysis of Merging Operations in Possibilistic Logic |
|
Salem Benferhat
, Didier Dubois
, Souhila Kaci
, Henri Prade
|
|
A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs |
|
Phan Giang
, Prakash Shenoy
|
|
A Two-round Variant of EM for Gaussian Mixtures |
|
Sanjoy Dasgupta
, Leonard Schulman
|
|
Adaptive Importance Sampling for Estimation in Structured Domains |
|
Luis Ortiz
, Leslie Kaelbling
|
|
An Uncertainty Framework for Classification |
|
Loo-Nin Teow
, Kia-Fock Loe
|
|
Any-Space Probabilistic Inference |
|
Adnan Darwiche
|
|
Approximately Optimal Monitoring of Plan Preconditions |
|
Craig Boutilier
|
|
Bayesian Classification and Feature Selection from Finite Data Sets |
|
Frans Coetzee
, Steve Lawrence
, C. Giles
|
|
Being Bayesian about Network Structure |
|
Nir Friedman
, Daphne Koller
|
|
Building a Stochastic Dynamic Model of Application Use |
|
Peter Gorniak
, David Poole
|
|
Causal Mechanism-based Model Construction |
|
Tsai-Ching Lu
, Marek Druzdzel
, Tze-Yun Leong
|
|
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach |
|
David Pennock
, Eric Horvitz
, Steve Lawrence
, C. Giles
|
|
Combinatorial Optimization by Learning and Simulation of Bayesian Networks |
|
Pedro Larrañaga
, Ramon Etxeberria
, Jose Lozano
, Jose Pena
|
|
Combining Feature and Prototype Pruning by Uncertainty Minimization |
|
Marc Sebban
, Richard Nock
|
|
Compact Securities Markets for Pareto Optimal Reallocation of Risk |
|
David Pennock
, Michael Wellman
|
|
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks |
|
Jian Cheng
, Marek Druzdzel
|
|
Conditional Independence and Markov Properties in Possibility Theory |
|
Jirina Vejnarova
|
|
Conditional Plausibility Measures and Bayesian Networks |
|
Joseph Halpern
|
|
Conversation as Action Under Uncertainty |
|
Tim Paek
, Eric Horvitz
|
|
Credal Networks under Maximum Entropy |
|
Thomas Lukasiewicz
|
|
Dependency Networks for Collaborative Filtering and Data Visualization |
|
David Heckerman
, David Chickering
, Christopher Meek
, Robert Rounthwaite
, Carl Kadie
|
|
Dynamic Bayesian Multinets |
|
Jeff Bilmes
|
|
Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules |
|
Amos Storkey
|
|
Evaluating Influence Diagrams using LIMIDs |
|
Dennis Nilsson
, Steffen Lauritzen
|
|
Experiments with Random Projection |
|
Sanjoy Dasgupta
|
|
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks |
|
Frank Wittig
, Anthony Jameson
|
|
Fast Planning in Stochastic Games |
|
Michael Kearns
, Yishay Mansour
, Satinder Singh
|
|
Feature Selection and Dualities in Maximum Entropy Discrimination |
|
Tony Jebara
, Tommi Jaakkola
|
|
Game Networks |
|
Pierfrancesco La Mura
|
|
Gaussian Process Networks |
|
Nir Friedman
, Iftach Nachman
|
|
Inference for Belief Networks Using Coupling From the Past |
|
Michael Harvey
, Radford Neal
|
|
Learning Graphical Models of Images, Videos and Their Spatial Transformations |
|
Brendan Frey
, Nebojsa Jojic
|
|
Learning to Cooperate via Policy Search |
|
Leonid Peshkin
, Kee-Eung Kim
, Nicolas Meuleau
, Leslie Kaelbling
|
|
Likelihood Computations Using Value Abstractions |
|
Nir Friedman
, Dan Geiger
, Noam Lotner
|
|
Making Sensitivity Analysis Computationally Efficient |
|
Uffe Kjærulff
, Linda van der Gaag
|
|
Marginalization in Composed Probabilistic Models |
|
Radim Jirousek
|
|
Maximum Entropy and the Glasses You Are Looking Through |
|
Peter Grunwald
|
|
Minimum Message Length Clustering Using Gibbs Sampling |
|
Ian Davidson
|
|
Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables |
|
Scott Davies
, Andrew Moore
|
|
Model Criticism of Bayesian Networks with Latent Variables |
|
David Williamson
, Russell Almond
, Robert Mislevy
|
|
Model-Based Hierarchical Clustering |
|
Shivakumar Vaithyanathan
, Byron Dom
|
|
Monte Carlo Inference via Greedy Importance Sampling |
|
Dale Schuurmans
, Finnegan Southey
|
|
Nash Convergence of Gradient Dynamics in Iterated General-Sum Games |
|
Satinder Singh
, Michael Kearns
, Yishay Mansour
|
|
On the Use of Skeletons when Learning in Bayesian Networks |
|
Harald Steck
|
|
PEGASUS: A Policy Search Method for Large MDPs and POMDPs |
|
Andrew Ng
, Michael Jordan
|
|
Perfect Tree-Like Markovian Distributions |
|
Ann Becker
, Dan Geiger
, Christopher Meek
|
|
Pivotal Pruning of Trade-offs in QPNs |
|
Silja Renooij
, Linda van der Gaag
, Simon Parsons
, Shaw Green
|
|
Policy Iteration for Factored MDPs |
|
Daphne Koller
, Ron Parr
|
|
Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning |
|
Michael Horsch
, Bill Havens
|
|
Probabilistic Models for Agents' Beliefs and Decisions |
|
Brian Milch
, Daphne Koller
|
|
Probabilistic Models for Query Approximation with Large Sparse Binary Datasets |
|
Dmitry Pavlov
, Heikki Mannila
, Padhraic Smyth
|
|
Probabilistic State-Dependent Grammars for Plan Recognition |
|
David Pynadath
, Michael Wellman
|
|
Probabilities of Causation: Bounds and Identification |
|
Jin Tian
, Judea Pearl
|
|
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks |
|
Arnaud Doucet
, Nando de Freitas
, Kevin Murphy
, Stuart Russell
|
|
Representing and Solving Asymmetric Bayesian Decision Problems |
|
Thomas Nielsen
, Finn Jensen
|
|
Reversible Jump MCMC Simulated Annealing for Neural Networks |
|
Christophe Andrieu
, Nando de Freitas
, Arnaud Doucet
|
|
Risk Agoras: Dialectical Argumentation for Scientific Reasoning |
|
Peter McBurney
, Simon Parsons
|
|
Separation Properties of Sets of Probability Measures |
|
Fabio Cozman
|
|
Stochastic Logic Programs: Sampling, Inference and Applications |
|
James Cussens
|
|
The Anchors Hierachy: Using the triangle inequality to survive high dimensional data |
|
Andrew Moore
|
|
The Complexity of Decentralized Control of Markov Decision Processes |
|
Daniel Bernstein
, Shlomo Zilberstein
, Neil Immerman
|
|
Tractable Bayesian Learning of Tree Belief Networks |
|
Marina Meila
, Tommi Jaakkola
|
|
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks |
|
Haiqin Wang
, Marek Druzdzel
|
|
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example |
|
Thomas Nielsen
, Pierre-Henri Wuillemin
, Finn Jensen
, Uffe Kjærulff
|
|
Utilities as Random Variables: Density Estimation and Structure Discovery |
|
Urszula Chajewska
, Daphne Koller
|
|
Value-Directed Belief State Approximation for POMDPs |
|
Pascal Poupart
, Craig Boutilier
|
|
Variational Approximations between Mean Field Theory and the Junction Tree Algorithm |
|
Wim Wiegerinck
|
|
Variational Relevance Vector Machines |
|
Christopher Bishop
, Michael Tipping
|
|
YGGDRASIL - A Statistical Package for Learning Split Models |
|
Soren Hojsgaard
|
