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    UAI
    2003
    86views Artificial Intelligence» more  UAI 2003»
    An Importance Sampling Algorithm Based on Evidence Pre-propagation
    13 years 5 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 5 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 5 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 5 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 5 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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    UAI
    2003
    104views Artificial Intelligence» more  UAI 2003»
    Renewal Strings for Cleaning Astronomical Databases
    13 years 5 months ago
    Renewal Strings for Cleaning Astronomical Databases
    Download  homepages.inf.ed.ac.uk
    Large astronomical databases obtained from sky surveys such as the SuperCOSMOS Sky Surveys (SSS) invariably suffer from spurious records coming from artefactual effects of the t...
    Amos J. Storkey, Nigel C. Hambly, Christopher K. I...
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    UAI
    2003
    107views Artificial Intelligence» more  UAI 2003»
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    13 years 5 months ago
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    Download  www.cs.washington.edu
    We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
    Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
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    UAI
    2003
    88views Artificial Intelligence» more  UAI 2003»
    Learning Measurement Models for Unobserved Variables
    13 years 5 months ago
    Learning Measurement Models for Unobserved Variables
    Download  www-2.cs.cmu.edu
    Ricardo Bezerra de Andrade e Silva, Richard Schein...
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    13 years 5 months ago
    Learning Module Networks
    Download  jmlr.csail.mit.edu
    Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
    Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
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    UAI
    2003
    172views Artificial Intelligence» more  UAI 2003»
    On the Convergence of Bound Optimization Algorithms
    13 years 5 months ago
    On the Convergence of Bound Optimization Algorithms
    Download  cs.nyu.edu
    Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
    Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
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