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    COLT
    2005
    Springer
    100views Machine Learning» more  COLT 2005»
    Generalization Error Bounds Using Unlabeled Data
    13 years 11 months ago
    Generalization Error Bounds Using Unlabeled Data
    Download  www.cs.helsinki.fi
    We present two new methods for obtaining generalization error bounds in a semi-supervised setting. Both methods are based on approximating the disagreement probability of pairs of ...
    Matti Kääriäinen
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    ICML
    1998
    IEEE
    264views Machine Learning» more  ICML 1998»
    A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
    14 years 6 months ago
    A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
    Download  www.cis.upenn.edu
    In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
    Michael J. Kearns, Yishay Mansour
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    TNN
    2010
    143views Management» more  TNN 2010»
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    13 years 22 hour ago
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    Download  www.smartlab.dibe.unige.it
    Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
    Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
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    COLT
    2007
    Springer
    113views Machine Learning» more  COLT 2007»
    Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
    13 years 11 months ago
    Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
    Download  www.cs.huji.ac.il
    We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
    Sivan Sabato, Shai Shalev-Shwartz
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    UAI
    2008
    252views Artificial Intelligence» more  UAI 2008»
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    13 years 6 months ago
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    Download  www.stat.lsa.umich.edu
    Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
    Eric Laber, Susan Murphy
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