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    JMLR
    2006
    140views more  JMLR 2006»
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    14 years 11 months ago
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    Download  jmlr.csail.mit.edu
    The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
    Masashi Sugiyama
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    NIPS
    2003
    146views Information Technology» more  NIPS 2003»
    On the Concentration of Expectation and Approximate Inference in Layered Networks
    15 years 18 days ago
    On the Concentration of Expectation and Approximate Inference in Layered Networks
    Download  www.cs.berkeley.edu
    We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
    XuanLong Nguyen, Michael I. Jordan
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    NIPS
    2003
    120views Information Technology» more  NIPS 2003»
    Tree-structured Approximations by Expectation Propagation
    15 years 18 days ago
    Tree-structured Approximations by Expectation Propagation
    Download  books.nips.cc
    Thomas P. Minka, Yuan (Alan) Qi
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    IPL
    2007
    94views more  IPL 2007»
    The finite horizon investor problem with a budget constraint
    14 years 11 months ago
    The finite horizon investor problem with a budget constraint
    Download  pluto.mscc.huji.ac.il
    We study a model that incorporates a budget constraint in a decision making problem. Our goal is to maximize the expected wealth, where in each time period we can either stop the ...
    Asaf Levin
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    AAAI
    2006
    126views Intelligent Agents» more  AAAI 2006»
    Functional Value Iteration for Decision-Theoretic Planning with General Utility Functions
    15 years 19 days ago
    Functional Value Iteration for Decision-Theoretic Planning with General Utility Functions
    Download  www.aaai.org
    We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...
    Yaxin Liu, Sven Koenig
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