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    NIPS
    2007
    132views Information Technology» more  NIPS 2007»
    A general agnostic active learning algorithm
    13 years 6 months ago
    A general agnostic active learning algorithm
    Download  isaim2008.unl.edu
    We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
    Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni
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    ML
    2002
    ACM
    133views Machine Learning» more  ML 2002»
    Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
    13 years 5 months ago
    Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
    Download  www.cs.utsa.edu
    For two-class datasets, we provide a method for estimating the generalization error of a bag using out-of-bag estimates. In bagging, each predictor (single hypothesis) is learned ...
    Tom Bylander
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    CVPR
    2005
    IEEE
    233views Computer Vision» more  CVPR 2005»
    Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
    14 years 7 months ago
    Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
    Download  www.vision.caltech.edu
    We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
    Evgeniy Bart, Shimon Ullman
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    SDM
    2007
    SIAM
    162views Data Mining» more  SDM 2007»
    Probabilistic Joint Feature Selection for Multi-task Learning
    13 years 6 months ago
    Probabilistic Joint Feature Selection for Multi-task Learning
    Download  siam.org
    We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
    Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
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    JMLR
    2002
    137views more  JMLR 2002»
    The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
    13 years 5 months ago
    The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
    Download  jmlr.csail.mit.edu
    A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
    Masashi Sugiyama, Klaus-Robert Müller
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