 |
A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model |
|
Stefano Monti
, Gregory Cooper
|
 |
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets |
|
Daphne Koller
, Uri Lerner
, Dragomir Anguelov
|
 |
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data |
|
Denver Dash
, Marek Druzdzel
|
 |
A Hybrid Approach to Reasoning with Partially Elicited Preference Models |
|
Vu Ha
, Peter Haddawy
|
 |
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes |
|
Nevin Zhang
, Stephen Lee
, Weihong Zhang
|
 |
A New Model of Plan Recognition |
|
Robert Goldman
, Christopher Geib
, Christopher Miller
|
 |
A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments |
|
Regis Sabbadin
|
 |
A Temporal Bayesian Network for Diagnosis and Prediction |
|
Gustavo Arroyo-Figueroa
, Luis Sucar
|
 |
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables |
|
Kevin Murphy
|
 |
Accelerating EM: An Empirical Study |
|
Luis Ortiz
, Leslie Kaelbling
|
 |
An Application of Uncertain Reasoning to Requirements Engineering |
|
Philip Barry
, Kathryn Laskey
|
 |
An Update Semantics for Defeasible Obligations |
|
Leendert van der Torre
, Yao-Hua Tan
|
 |
Approximate Learning in Complex Dynamic Bayesian Networks |
|
Raffaella Settimi
, Jim Smith
, A. Gargoum
|
 |
Approximate Planning for Factored POMDPs using Belief State Simplification |
|
David McAllester
, Satinder Singh
|
 |
Artificial Decision Making Under Uncertainty in Intelligent Buildings |
|
Magnus Boman
, Paul Davidsson
, Hakan Younes
|
 |
Assessing the value of a candidate. Comparing belief function and possibility theories |
|
Didier Dubois
, Michel Grabisch
, Henri Prade
, Philippe Smets
|
 |
Attention-Sensitive Alerting |
|
Eric Horvitz
, Andy Jacobs
, David Hovel
|
 |
Bayes Nets in Educational Assessment: Where Do the Numbers Come From? |
|
Robert Mislevy
, Russell Almond
, Duanli Yan
, Linda Steinberg
|
 |
Bayesian Control for Concentrating Mixed Nuclear Waste |
|
Robert Welch
, Clayton Smith
|
 |
Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability |
|
Luigi Portinale
, Andrea Bobbio
|
 |
Bayesian Poker |
|
Kevin Korb
, Ann Nicholson
, Nathalie Jitnah
|
 |
Causal Discovery from a Mixture of Experimental and Observational Data |
|
Gregory Cooper
, Changwon Yoo
|
 |
Choosing Among Interpretations of Probability |
|
Henry Kyburg Jr.
, Choh Teng
|
 |
Comparing Bayesian Network Classifiers |
|
Jie Cheng
, Russell Greiner
|
 |
Contextual Weak Independence in Bayesian Networks |
|
Michael Wong
, C. Butz
|
 |
Continuous Value Function Approximation for Sequential Bidding Policies |
|
Craig Boutilier
, Moises Goldszmidt
, Bikash Sabata
|
 |
Data Analysis with Bayesian Networks: A Bootstrap Approach |
|
Nir Friedman
, Moises Goldszmidt
, Abraham Wyner
|
 |
Discovering the Hidden Structure of Complex Dynamic Systems |
|
Xavier Boyen
, Nir Friedman
, Daphne Koller
|
 |
Efficient Value of Information Computation |
|
Ross Shachter
|
 |
Enhancing QPNs for Trade-off Resolution |
|
Silja Renooij
, Linda van der Gaag
|
 |
Estimating the Value of Computation in Flexible Information Refinement |
|
Michael Horsch
, David Poole
|
 |
Evaluation of Distributed Intelligence on the Smart Card |
|
Kazuo Ezawa
, Greg Napiorkowski
, Mariusz Kossarski
|
 |
Expected Utility Networks |
|
Pierfrancesco La Mura
, Yoav Shoham
|
 |
Faithful Approximations of Belief Functions |
|
David Harmanec
|
 |
Fast Learning from Sparse Data |
|
David Chickering
, David Heckerman
|
 |
Graphical Representations of Consensus Belief |
|
David Pennock
, Michael Wellman
|
 |
How to Elicit Many Probabilities |
|
Linda van der Gaag
, Silja Renooij
, Cilia Witteman
, Berthe Aleman
, Babs Taal
|
 |
Hybrid Probabilistic Programs: Algorithms and Complexity |
|
Michael Dekhtyar
, Alex Dekhtyar
, V. Subrahmanian
|
 |
Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation |
|
Yanping Xiang
, Finn Jensen
|
 |
Inference Networks and the Evaluation of Evidence: Alternative Analyses |
|
David Schum
|
 |
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes |
|
Hagai Attias
|
 |
Lazy Evaluation of Symmetric Bayesian Decision Problems |
|
Anders Madsen
, Finn Jensen
|
 |
Learning Bayesian Network Structure from Massive Datasets: The ``Sparse Candidate'' Algorithm |
|
Nir Friedman
, Iftach Nachman
, Dana Pe'er
|
 |
Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms |
|
James Myers
, Kathryn Laskey
, Tod Levitt
|
 |
Learning Bayesian Networks with Restricted Causal Interactions |
|
Julian Neil
, Chris Wallace
, Kevin Korb
|
 |
Learning Finite-State Controllers for Partially Observable Environments |
|
Nicolas Meuleau
, Leonid Peshkin
, Kee-Eung Kim
, Leslie Kaelbling
|
 |
Learning Hidden Markov Models with Geometrical Constraints |
|
Hagit Shatkay
|
 |
Learning Polytrees |
|
Sanjoy Dasgupta
|
 |
Loglinear models for first-order probabilistic reasoning |
|
James Cussens
|
 |
Loopy Belief Propagation for Approximate Inference: An Empirical Study |
|
Kevin Murphy
, Yair Weiss
, Michael Jordan
|
 |
Mini-Bucket Heuristics for Improved Search |
|
Kalev Kask
, Rina Dechter
|
 |
Mixture Approximations to Bayesian Networks |
|
Volker Tresp
, Michael Haft
, Reimar Hofmann
|
 |
Model-Based Bayesian Exploration |
|
Richard Dearden
, Nir Friedman
, David Andre
|
 |
Multi-objects association in perception of dynamical situation |
|
Dominique Gruyer
, Veronique Berge-Cherfaoui
|
 |
Multiplicative Factorization of Noisy-Max |
|
Masami Takikawa
, Bruce D'Ambrosio
|
 |
My Brain is Full: When More Memory Helps |
|
Christopher Lusena
, Tong Li
, Shelia Sittinger
, Chris Wells
, Judy Goldsmith
|
 |
On Quantified Linguistic Approximation |
|
Ryszard Kowalczyk
|
 |
On Supervised Selection of Bayesian Networks |
|
Petri Kontkanen
, Petri Myllymaki
, Tomi Silander
, Henry Tirri
|
 |
On the Complexity of Policy Iteration |
|
Yishay Mansour
, Satinder Singh
|
 |
On the Semantics and Automated Deduction for PLFC, a Logic of Possibilistic Uncertainty and Fuzziness |
|
Teresa Alsinet
, Lluis Godo
, Sandra Sandri
|
 |
On Transformations between Probability and Spohnian Disbelief Functions |
|
Phan Giang
, Prakash Shenoy
|
 |
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions |
|
Dan Geiger
, David Heckerman
|
 |
Possibilistic logic bases and possibilistic graphs |
|
Salem Benferhat
, Didier Dubois
, Laurent Garcia
, Henri Prade
|
 |
Practical Uses of Belief Functions |
|
Philippe Smets
|
 |
Probabilistic Belief Change: Expansion, Conditioning and Constraining |
|
Frans Voorbraak
|
 |
Probabilistic Latent Semantic Analysis |
|
Thomas Hofmann
|
 |
Qualitative Models for Decision Under Uncertainty without the Commensurability Assumption |
|
Helene Fargier
, Patrice Perny
|
 |
Quantifier Elimination for Statistical Problems |
|
Dan Geiger
, Christopher Meek
|
 |
Random Algorithms for the Loop Cutset Problem |
|
Ann Becker
, Reuven Bar-Yehuada
, Dan Geiger
|
 |
Reasoning With Conditional Ceteris Paribus Preference Statem |
|
Craig Boutilier
, Ronen Brafman
, Holger Hoos
, David Poole
|
 |
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions |
|
Katy Azoury
, Manfred Warmuth
|
 |
Representing and Combining Partially Specified CPTs |
|
Suzanne Mahoney
, Kathryn Laskey
|
 |
Solving POMDPs by Searching the Space of Finite Policies |
|
Nicolas Meuleau
, Kee-Eung Kim
, Leslie Kaelbling
, Anthony Cassandra
|
 |
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation |
|
Avi Pfeffer
, Daphne Koller
, Brian Milch
, Ken Takusagawa
|
 |
SPUDD: Stochastic Planning using Decision Diagrams |
|
Jesse Hoey
, Robert St-Aubin
, Alan Hu
, Craig Boutilier
|
 |
The Decision-Theoretic Interactive Video Advisor |
|
Hien Nguyen
, Peter Haddawy
|
 |
Time-Critical Dynamic Decision Making |
|
Yanping Xiang
, Kim-Leng Poh
|
 |
Variational Learning in Mixed-State Dynamic Graphical Models |
|
Vladimir Pavlovic
, Brendan Frey
, Thomas Huang
|
 |
Welldefined Decision Scenarios |
|
Thomas Nielsen
, Finn Jensen
|