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    BMCBI
    2002
    54views more  BMCBI 2002»
    Homology Induction: the use of machine learning to improve sequence similarity searches
    15 years 6 months ago
    Homology Induction: the use of machine learning to improve sequence similarity searches
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    Andreas Karwath, Ross D. King
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    EMNLP
    2010
    108views Natural Language Processing» more  EMNLP 2010»
    Multi-Document Summarization Using A* Search and Discriminative Learning
    15 years 5 months ago
    Multi-Document Summarization Using A* Search and Discriminative Learning
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    Ahmet Aker, Trevor Cohn, Robert J. Gaizauskas
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    AIPS
    2011
    207views Artificial Intelligence» more  AIPS 2011»
    Learning Inadmissible Heuristics During Search
    14 years 10 months ago
    Learning Inadmissible Heuristics During Search
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    Jordan Tyler Thayer, Austin J. Dionne, Wheeler Rum...
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    194
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    NIPS
    1993
    103views Information Technology» more  NIPS 1993»
    Optimal Stochastic Search and Adaptive Momentum
    15 years 8 months ago
    Optimal Stochastic Search and Adaptive Momentum
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    Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
    Todd K. Leen, Genevieve B. Orr
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    179
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    ESANN
    2008
    142views Neural Networks» more  ESANN 2008»
    Interpretable ensembles of local models for safety-related applications
    15 years 8 months ago
    Interpretable ensembles of local models for safety-related applications
    Download  www.dice.ucl.ac.be
    Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
    Sebastian Nusser, Clemens Otte, Werner Hauptmann
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