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    UAI
    1998
    248views Artificial Intelligence» more  UAI 1998»
    The Bayesian Structural EM Algorithm
    13 years 6 months ago
    The Bayesian Structural EM Algorithm
    Download  www.cs.huji.ac.il
    In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
    Nir Friedman
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    UAI
    1998
    86views Artificial Intelligence» more  UAI 1998»
    Utility Elicitation as a Classification Problem
    13 years 6 months ago
    Utility Elicitation as a Classification Problem
    Download  www.aaai.org
    The majority of real-world probabilistic systems are used by more than one user, thus a utility model must be elicited separately for each newuser. Utility elicitation is long and...
    Urszula Chajewska, Lise Getoor, Joseph Norman, Yuv...
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    UAI
    1998
    194views Artificial Intelligence» more  UAI 1998»
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    13 years 6 months ago
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    Download  www.cs.pitt.edu
    John S. Breese, David Heckerman, Carl Myers Kadie
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    UAI
    1998
    91views Artificial Intelligence» more  UAI 1998»
    Tractable Inference for Complex Stochastic Processes
    13 years 6 months ago
    Tractable Inference for Complex Stochastic Processes
    Download  www.cis.upenn.edu
    The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
    Xavier Boyen, Daphne Koller
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    UAI
    1998
    115views Artificial Intelligence» more  UAI 1998»
    Structured Reachability Analysis for Markov Decision Processes
    13 years 6 months ago
    Structured Reachability Analysis for Markov Decision Processes
    Download  www.cs.toronto.edu
    Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
    Craig Boutilier, Ronen I. Brafman, Christopher W. ...
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    UAI
    2003
    86views Artificial Intelligence» more  UAI 2003»
    An Importance Sampling Algorithm Based on Evidence Pre-propagation
    13 years 6 months ago
    An Importance Sampling Algorithm Based on Evidence Pre-propagation
    Download  www.pitt.edu
    Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
    Changhe Yuan, Marek J. Druzdzel
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    UAI
    2003
    212views Artificial Intelligence» more  UAI 2003»
    Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
    13 years 6 months ago
    Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
    Download  research.microsoft.com
    Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
    Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
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    UAI
    2003
    109views Artificial Intelligence» more  UAI 2003»
    Exploiting Locality in Searching the Web
    13 years 6 months ago
    Exploiting Locality in Searching the Web
    Download  www.cs.brown.edu
    Published experiments on spidering the Web suggest that, given training data in the form of a (relatively small) subgraph of the Web containing a subset of a selected class of tar...
    Joel Young, Thomas Dean
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    UAI
    2003
    109views Artificial Intelligence» more  UAI 2003»
    Markov Random Walk Representations with Continuous Distributions
    13 years 6 months ago
    Markov Random Walk Representations with Continuous Distributions
    Download  www.sns.ias.edu
    We propose a framework to extend Markov random walks (Szummer and Jaakkola, 2001) to a continuum of points. In this framework, the transition probability between two points is the...
    Chen-Hsiang Yeang, Martin Szummer
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    UAI
    2003
    109views Artificial Intelligence» more  UAI 2003»
    Strong Faithfulness and Uniform Consistency in Causal Inference
    13 years 6 months ago
    Strong Faithfulness and Uniform Consistency in Causal Inference
    Download  www.hss.cmu.edu
    A fundamental question in causal inference is whether it is possible to reliably infer the manipulation effects from observational data. There are a variety of senses of asymptot...
    Jiji Zhang, Peter Spirtes
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