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A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors |
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Mehmet Kayaalp
, Gregory Cooper
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A constraint satisfaction approach to the robust spanning tree problem with interval data |
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Ionut Aron
, Pascal Van Hentenryck
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A New Class of Upper Bounds on the Log Partition Function |
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Martin Wainwright
, Tommi Jaakkola
, Alan Willsky
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Adaptive Foreground and Shadow Detection inImage Sequences |
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Yang Wang
, Tele Tan
|
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Advances in Boosting (Invited Talk) |
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Robert Schapire
|
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Almost-everywhere algorithmic stability and generalization error |
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Samuel Kutin
, Partha Niyogi
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An Information-Theoretic External Cluster-Validity Measure |
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Byron Dom
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An MDP-based Recommender System |
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Guy Shani
, Ronen Brafman
, David Heckerman
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Anytime State-Based Solution Methods for Decision Processes with non-Markovian Rewards |
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Sylvie Thiebaux
, Froduald Kabanza
, John Slanley
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Asymptotic Model Selection for Naive Bayesian Networks |
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Dmitry Rusakov
, Dan Geiger
|
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Bayesian Network Classifiers in a High Dimensional Framework |
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Tatjana Pavlenko
, Dietrich von Rosen
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Bipolar Possibilistic Representations |
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Salem Benferhat
, Didier Dubois
, Souhila Kaci
, Henri Prade
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Causes and Explanations in the Structural-Model Approach: Tractable Cases |
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Thomas Eiter
, Thomas Lukasiewicz
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CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence |
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Carl Kadie
, Christopher Meek
, David Heckerman
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Complexity of Mechanism Design |
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Vincent Conitzer
, Tuomas Sandholm
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Continuation Methods for Mixing Heterogenous Sources |
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Adrian Corduneanu
, Tommi Jaakkola
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Continuous Time Bayesian Networks |
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Uri Nodelman
, Christian Shelton
, Daphne Koller
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Coordinates: Probabilistic Forecasting of Presence and Availability |
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Eric Horvitz
, Paul Koch
, Carl Kadie
, Andy Jacobs
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Decayed MCMC Filtering |
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Bhaskara Marthi
, Hanna Pasula
, Stuart Russell
, Yuval Peres
|
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Decision Principles to justify Carnap's Updating Method and to Suggest Corrections of Probability Judgments (Invited Talks) |
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Peter Wakker
|
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Dimension Correction for Hierarchical Latent Class Models |
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Tomas Kocka
, Nevin Zhang
|
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Discriminative Probabilistic Models for Relational Data |
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Ben Taskar
, Pieter Abbeel
, Daphne Koller
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Distributed Planning in Hierarchical Factored MDPs |
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Carlos Guestrin
, Geoffrey Gordon
|
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Efficient Nash Computation in Large Population Games with Bounded Influence |
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Michael Kearns
, Yishay Mansour
|
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Expectation Propogation for approximate inference in dynamic Bayesian networks |
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Tom Heskes
, Onno Zoeter
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Expectation-Propogation for the Generative Aspect Model |
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Thomas Minka
, John Lafferty
|
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Exploiting Functional Dependence in Bayesian Network Inference |
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Jirka Vomlel
|
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Factored Particles for Scalable Monitoring |
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Brenda Ng
, Leonid Peshkin
, Avi Pfeffer
|
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Factorization of Discrete Probability Distributions |
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Dan Geiger
, Christopher Meek
, Bernd Sturmfels
|
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Finding Optimal Bayesian Networks |
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David Chickering
, Christopher Meek
|
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Formalizing Scenario Analysis |
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Peter McBurney
, Simon Parsons
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From Qualitative to Quantitative Probabilistic Networks |
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Silja Renooij
, Linda van der Gaag
|
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General Lower Bounds based on Computer Generated Higher Order Expansions |
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Martijn Leisink
, Hilbert Kappen
|
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Generalized Instrumental Variables |
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Carlos Brito
, Judea Pearl
|
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Inductive Policy Selection for First-Order MDPs |
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Sung Wook Yoon
, Alan Fern
, Robert Givan
|
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Inference with Seperately Specified Sets of Probabilities in Credal Networks |
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Jose Ferreira da Rocha
, Fabio Cozman
|
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Interpolating Conditional Density Trees |
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Scott Davies
, Andrew Moore
|
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Introducing Variable Importance Tradeoffs into CP-Nets |
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Ronen Brafman
, Carmel Domshlak
|
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IPF for Discrete Chain Factor Graphs |
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Wim Wiegerinck
, Tom Heskes
|
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Iterative Join-Graph Propagation |
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Rina Dechter
, Kalev Kask
, Robert Mateescu
|
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Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots |
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Dragomir Anguelov
, Rahul Biswas
, Daphne Koller
, Benson Limketkai
, Sebastian Thrun
|
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Learning with Scope, with Application to Information Extraction and Classification |
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David Blei
, J Bagnell
, Andrew McCallum
|
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Loopy Belief Propogation and Gibbs Measures |
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Sekhar Tatikonda
, Michael Jordan
|
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MAP Complexity Results and Approximation Methods |
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James Park
|
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Markov Equivalence Classes for Maximal Ancestral Graphs |
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Ayesha Ali
, Thomas Richardson
|
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Mechanism Design with Execution Uncertainty |
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Ryan Porter
, Amir Ronen
, Yoav Shoham
, Moshe Tennenholtz
|
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Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events |
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David Pennock
, Sandip Debnath
, Eric Glover
, C. Giles
|
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Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net |
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Uri Lerner
, Brooks Moses
, Maricia Scott
, Sheila McIlraith
, Daphne Koller
|
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On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures |
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Vincent Auvray
, Louis Wehenkel
|
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On the Testable Implications of Causal Models with Hidden Variables |
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Jin Tian
, Judea Pearl
|
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Optimal Time Bounds for Approximate Clustering |
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Ramgopal Mettu
, Greg Plaxton
|
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Particle Filters in Robotics (Invited Talk) |
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Sebastian Thrun
|
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Planning under Continuous Time and Resource Uncertainty: A Challenge for AI |
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John Bresina
, Richard Dearden
, Nicolas Meuleau
, Sailesh Ramkrishnan
, David Smith
, Richard Washington
|
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Polynomial Value Iteration Algorithms for Detrerminstic MDPs |
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Omid Madani
|
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Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation |
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Blai Bonet
, Judea Pearl
|
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Real-Time Inference with Large-Scale Temporal Bayes Nets |
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Masami Takikawa
, Bruce D'Ambrosio
, Ed Wright
|
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Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes |
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Andrew Moore
, Jeff Schneider
|
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Reasoning about Expectation |
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Joseph Halpern
, Riccardo Pucella
|
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Reduction of Maximum Entropy Models to Hidden Markov Models |
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Joshua Goodman
|
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Reinforcement Learning with Partially Known World Dynamics |
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Christian Shelton
|
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Robust Feature Selection by Mutual Information Distributions |
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Marco Zaffalon
, Marcus Hutter
|
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Staged Mixture Modelling and Boosting |
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Christopher Meek
, Bo Thiesson
, David Heckerman
|
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Statistical Decisions Using Likelihood Information Without Prior Probabilities |
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Phan Giang
, Prakash Shenoy
|
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The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning |
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Sarah Finney
, Natalia Gardiol
, Leslie Kaelbling
, Tim Oates
|
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Tree-dependent Component Analysis |
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Francis Bach
, Michael Jordan
|
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Unconstrained Influence Diagrams |
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Finn Jensen
, Marta Vomlelova
|
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Unsupervised Active Learning in Large Domains |
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Harald Steck
, Tommi Jaakkola
|
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Updating Probabilities |
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Peter Grunwald
, Joseph Halpern
|
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Value Function Approximation in Zero-Sum Markov Games |
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Michail Lagoudakis
, Ron Parr
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