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1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?" |
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Shyong (Tony) Lam
, David Pennock
, Dan Cosley
, Steve Lawrence
|
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A Distance-Based Branch and Bound Feature Selection Algorithm |
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Ari Frank
, Dan Geiger
, Zohar Yakhini
|
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A Generalized Mean Field Algorithm for Variational Inference in Exponential Families |
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Eric Xing
, Michael Jordan
, Stuart Russell
|
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A Linear Belief Function Approach to Portfolio Evaluation |
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Liping Liu
, Catherine Shenoy
, Prakash Shenoy
|
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A Logic for Reasoning about Evidence |
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Joseph Halpern
, Riccardo Pucella
|
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A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence |
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Mathias Drton
, Thomas Richardson
|
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A possibilistic handling of partially ordered information |
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Salem Benferhat
, Sylvain Lagrue
, Odile Papini
|
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A Robust Independence Test for Constraint-Based Learning of Causal Structure |
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Denver Dash
, Marek Druzdzel
|
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A Simple Insight into Iterative Belief Propagation's Success |
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Rina Dechter
, Robert Mateescu
|
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Active Collaborative Filtering |
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Craig Boutilier
, Richard Zemel
, Benjamin Marlin
|
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An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios |
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Patrice Perny
, Olivier Spanjaard
|
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An Empirical Study of w-Cutset Sampling for Bayesian Networks |
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Bozhena Bidyuk
, Rina Dechter
|
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An Importance Sampling Algorithm Based on Evidence Pre-propagation |
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Changhe Yuan
, Marek Druzdzel
|
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Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries |
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David Larkin
|
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Approximate Inference and Constrained Optimization |
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Tom Heskes
, Kees Albers
, Hilbert Kappen
|
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Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models |
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Dmitry Rusakov
, Dan Geiger
|
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Bayesian Hierarchical Mixtures of Experts |
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Christopher Bishop
, Markus Svensen
|
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Boltzmann Machine Learning with the Latent Maximum Entropy Principle |
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Shaojun Wang
, Dale Schuurmans
, Fuchun Peng
, Yunxin Zhao
|
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Budgeted Learning of Naive-Bayes Classifiers |
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Daniel Lizotte
, Omid Madani
, Russell Greiner
|
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CLP(BN): Constraint Logic Programming for Probabilistic Knowledge |
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Vitor Santos Costa
, David Page
, Maleeha Qazi
, James Cussens
|
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Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes |
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Kai Yu
, Anton Schwaighofer
, Volker Tresp
, Wei-Ying Ma
, HongJiang Zhang
|
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Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation |
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Craig Boutilier
, Rajarshi Das
, Jeffrey Kephart
, Gerald Tesauro
, William Walsh
|
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Dealing with uncertainty in fuzzy inductive reasoning methodology |
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Francisco Mugica
, Angela Nebot
, Pilar Gomez
|
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Decentralized Sensor Fusion With Distributed Particle Filters |
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Matthew Rosencrantz
, Geoffrey Gordon
, Sebastian Thrun
|
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Decision Making with Partially Consonant Belief Functions |
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Phan Giang
, Prakash Shenoy
|
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Efficient Gradient Estimation for Motor Control Learning |
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Gregory Lawrence
, Noah Cowan
, Stuart Russell
|
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Efficient Inference in Large Discrete Domains |
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Rita Sharma
, David Poole
|
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Efficient Parametric Projection Pursuit Density Estimation |
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Max Welling
, Richard Zemel
, Geoffrey Hinton
|
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Efficiently Inducing Features of Conditional Random Fields |
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Andrew McCallum
|
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Exploiting Locality in Searching the Web |
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Joel Young
, Thomas Dean
|
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Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models |
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Brendan Frey
|
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Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards |
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Charles Gretton
, David Price
, Sylvie Thiebaux
|
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Incremental Compilation of Bayesian networks |
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Julia Flores
, Jose Gamez
, Kristian Olesen
|
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Inference in Polytrees with Sets of Probabilities |
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Jose Ferreira da Rocha
, Fabio Cozman
, Cassio de Campos
|
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Large-Sample Learning of Bayesian Networks is NP-Hard |
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David Chickering
, Christopher Meek
, David Heckerman
|
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LAYERWIDTH: Analysis of a New Metric for Directed Acyclic Graphs |
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Mark Hopkins
|
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Learning Continuous Time Bayesian Networks |
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Uri Nodelman
, Christian Shelton
, Daphne Koller
|
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Learning Generative Models of Similarity Matrices |
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Romer Rosales
, Brendan Frey
|
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Learning Measurement Models for Unobserved Variables |
|
Ricardo Silva
, Richard Scheines
, Clark Glymour
, Peter Spirtes
|
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Learning Module Networks |
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Eran Segal
, Dana Pe'er
, Aviv Regev
, Daphne Koller
, Nir Friedman
|
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Learning Riemannian Metrics |
|
Guy Lebanon
|
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Locally Weighted Naive Bayes |
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Eibe Frank
, Mark Hall
, Bernhard Pfahringer
|
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Loopy Belief Propagation as a Basis for Communication in Sensor Networks |
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Christopher Crick
, Avi Pfeffer
|
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Marginalizing Out Future Passengers in Group Elevator Control |
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Daniel Nikovski
, Matthew Brand
|
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Markov Random Walk Representations with Continuous Distributions |
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Chen-Hsiang Yeang
, Martin Szummer
|
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Monte Carlo Matrix Inversion Policy Evaluation |
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Fletcher Lu
, Dale Schuurmans
|
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Monte-Carlo optimizations for resource allocation problems in stochastic network systems |
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Milos Hauskrecht
, Tomas Singliar
|
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New Advances in Inference by Recursive Conditioning |
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David Allen
, Adnan Darwiche
|
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On Information Regularization |
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Adrian Corduneanu
, Tommi Jaakkola
|
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On Local Optima in Learning Bayesian Networks |
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Jens Nielsen
, Tomas Kocka
, Jose Pena
|
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On revising fuzzy belief bases |
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Richard Booth
, Eva Richter
|
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On the Convergence of Bound Optimization Algorithms |
|
Ruslan Salakhutdinov
, Sam Roweis
, Zoubin Ghahramani
|
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On Triangulating Dynamic Graphical Models |
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Jeff Bilmes
, Chris Bartels
|
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Optimal Limited Contingency Planning |
|
Nicolas Meuleau
, David Smith
|
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Parametric Dependability Analysis through Probabilistic Horn Abduction |
|
Andrea Bobbio
, Stefania Montani
, Luigi Portinale
|
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Phase Transition of Tractability in Constraint Satisfaction and Bayesian Network Inference |
|
Yong Gao
|
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Policy-contingent abstraction for robust robot control |
|
Joelle Pineau
, Geoffrey Gordon
, Sebastian Thrun
|
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Practically Perfect |
|
Christopher Meek
, David Chickering
|
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Preference-based Graphic Models for Collaborative Filtering |
|
Rong Jin
, Luo Si
, ChengXiang Zhai
|
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Probabilistic models for joint clustering and time-warping of multidimensional curves |
|
Darya Chudova
, Scott Gaffney
, Padhraic Smyth
|
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Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories |
|
Thomas Eiter
, Thomas Lukasiewicz
|
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Reasoning about Bayesian Network Classifiers |
|
Hei Chan
, Adnan Darwiche
|
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Renewal Strings for Cleaning Astronomical Databases |
|
Amos Storkey
, Nigel Hambly
, Christopher Williams
, Robert Mann
|
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Solving MAP Exactly using Systematic Search |
|
James Park
, Adnan Darwiche
|
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Stochastic complexity of Bayesian networks |
|
Keisuke Yamazaki
, Sumio Watanbe
|
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Strong Faithfulness and Uniform Consistency in Causal Inference |
|
Jiji Zhang
, Peter Spirtes
|
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Structure-Based Causes and Explanations in the Independent Choice Logic |
|
Alberto Finzi
, Thomas Lukasiewicz
|
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Sufficient Dimensionality Reduction with Irrelevant Statistics |
|
Amir Globerson
, Gal Chechik
, Naftali Tishby
|
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Symbolic Generalization for On-line Planning |
|
Zhengzhu Feng
, Eric Hansen
, Shlomo Zilberstein
|
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Systematic vs. Non-systematic Algorithms for Solving the MPE Task |
|
Radu Marinescu
, Kalev Kask
, Rina Dechter
|
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The Information Bottleneck EM Algorithm |
|
Gal Elidan
, Nir Friedman
|
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The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach |
|
Benjamin Stewart
, Jonathan Ko
, Dieter Fox
, Kurt Konolige
|
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Updating with incomplete observations |
|
Gert de Cooman
, Marco Zaffalon
|
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Upgrading Ambiguous Signs in QPNs |
|
Janneke Bolt
, Silja Renooij
, Linda van der Gaag
|
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Using the structure of d-connecting paths as a qualitative measure of the strength of dependence |
|
Sanjay Chaudhari
, Thomas Richardson
|
|
Value Elimination: Bayesian Inference via Backtracking Search |
|
Fahiem Bacchus
, Shannon Dalmao
, Toniann Pitassi
|
|
Web-Based Question Answering: A Decision-Making Perspective |
|
David Azari
, Eric Horvitz
, Susan Dumais
, Eric Brill
|
