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    WSC
    2007
    119views Modeling And Simulation» more  WSC 2007»
    A Bayesian approach to analysis of limit standards
    15 years 14 days ago
    A Bayesian approach to analysis of limit standards
    Download  www.informs-sim.org
    Limit standards are probabilistic requirements or benchmarks regarding the proportion of replications conforming or not conforming to a desired threshold. Sample proportions resul...
    Roy R. Creasey Jr., K. Preston White Jr.
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    ICML
    2003
    IEEE
    170views Machine Learning» more  ICML 2003»
    Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
    15 years 11 months ago
    Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
    Download  www-2.cs.cmu.edu
    In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
    Yi Zhang, Wei Xu, James P. Callan
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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    14 years 11 months ago
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
    Rong Jin, Luo Si
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    CLASSIFICATION
    2006
    108views more  CLASSIFICATION 2006»
    The Practice of Cluster Analysis
    14 years 10 months ago
    The Practice of Cluster Analysis
    Download  www.interfacesymposia.org
    Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
    Jon R. Kettenring
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    NIPS
    2000
    113views Information Technology» more  NIPS 2000»
    Occam's Razor
    14 years 11 months ago
    Occam's Razor
    Download  www.gatsby.ucl.ac.uk
    The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
    Carl Edward Rasmussen, Zoubin Ghahramani
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