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    NDQA
    2003
    156views Education» more  NDQA 2003»
    Toward a Question Answering Roadmap
    13 years 9 months ago
    Toward a Question Answering Roadmap
    Download  www.mitre.org
    Growth in government investment, academic research, and commercial question answering (QA) systems is motivating a need for increased planning and coordination. The internationali...
    Mark T. Maybury
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    NIPS
    2003
    195views Information Technology» more  NIPS 2003»
    AUC Optimization vs. Error Rate Minimization
    13 years 9 months ago
    AUC Optimization vs. Error Rate Minimization
    Download  www.cs.nyu.edu
    The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
    Corinna Cortes, Mehryar Mohri
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    PDPTA
    2003
    101views Distributed And Parallel Com...» more  PDPTA 2003»
    An Interactive Tuning Support for Processor Allocation of Data-Driven Realtime Programs
    13 years 9 months ago
    An Interactive Tuning Support for Processor Allocation of Data-Driven Realtime Programs
    Download  www.iil-inc.com
    This paper presents the effectiveness of an interactive support facility to tune processor allocation of data-driven realtime programs on CUE (Coordinating Users’ requirements an...
    Yasuhiro Wabiko, Hiroaki Nishikawa
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    AAAI
    2000
    143views Intelligent Agents» more  AAAI 2000»
    Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
    13 years 9 months ago
    Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
    Download  www.ri.cmu.edu
    One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
    Amedeo Cesta, Angelo Oddi, Stephen F. Smith
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