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    IJCAI
    2007
    141views Artificial Intelligence» more  IJCAI 2007»
    Incompleteness and Incomparability in Preference Aggregation
    13 years 11 months ago
    Incompleteness and Incomparability in Preference Aggregation
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    We consider how to combine the preferences of multiple agents despite the presence of incompleteness and incomparability in their preference orderings. An agent’s preference orde...
    Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
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    IJCAI
    2007
    160views Artificial Intelligence» more  IJCAI 2007»
    Learning from Partial Observations
    13 years 11 months ago
    Learning from Partial Observations
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    We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
    Loizos Michael
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    NIPS
    2008
    188views Information Technology» more  NIPS 2008»
    Bayesian Kernel Shaping for Learning Control
    13 years 11 months ago
    Bayesian Kernel Shaping for Learning Control
    Download  eprints.pascal-network.org
    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
    Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
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    SDM
    2008
    SIAM
    118views Data Mining» more  SDM 2008»
    Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
    13 years 11 months ago
    Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
    Download  www.cc.gatech.edu
    We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
    Ryan Riegel, Alexander Gray, Gordon Richards
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    TREC
    2008
    156views Information Technology» more  TREC 2008»
    Weighted PageRank: Cluster-Related Weights
    13 years 11 months ago
    Weighted PageRank: Cluster-Related Weights
    Download  trec.nist.gov
    PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
    Danil Nemirovsky, Konstantin Avrachenkov
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