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    AAAI
    2006
    135views Intelligent Agents» more  AAAI 2006»
    Closest Pairs Data Selection for Support Vector Machines
    13 years 11 months ago
    Closest Pairs Data Selection for Support Vector Machines
    Download  www.aaai.org
    This paper presents data selection procedures for support vector machines (SVM). The purpose of data selection is to reduce the dataset by eliminating as many non support vectors ...
    Chaofan Sun
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    NIPS
    2004
    97views Information Technology» more  NIPS 2004»
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    13 years 11 months ago
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    Download  books.nips.cc
    An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
    Shantanu Chakrabartty, Gert Cauwenberghs
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    WOA
    2000
    114views Intelligent Agents» more  WOA 2000»
    Designing an Agent to Support Interactive Access to Museum Information
    13 years 11 months ago
    Designing an Agent to Support Interactive Access to Museum Information
    Download  lia.deis.unibo.it
    If we consider most applications accessible through the Web, we can notice a lack of support able to adapt to the different information needs that different users may have regardi...
    Luisa Marucci, Fabio Paternò
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    WSC
    1997
    122views Modeling And Simulation» more  WSC 1997»
    A Demonstration of the Integrated Supportability Analysis and Cost System (ISACS+)
    13 years 11 months ago
    A Demonstration of the Integrated Supportability Analysis and Cost System (ISACS+)
    Download  www.informs-sim.org
    This paper describes the Integrated Supportability Analysis and Cost System (ISACS+) and the features which will be demonstrated. ISACS+ is a distributed, client/server system for...
    Helena L. Weaks, James D. Barrett
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    TR
    2010
    204views Hardware» more  TR 2010»
    Anomaly Detection Through a Bayesian Support Vector Machine
    13 years 4 months ago
    Anomaly Detection Through a Bayesian Support Vector Machine
    Download  www6.cityu.edu.hk
    This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
    Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
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