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    FLAIRS
    2003
    124views Artificial Intelligence» more  FLAIRS 2003»
    LIDS: Learning Intrusion Detection System
    14 years 11 months ago
    LIDS: Learning Intrusion Detection System
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    The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
    Mayukh Dass, James Cannady, Walter D. Potter
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    FLAIRS
    2003
    156views Artificial Intelligence» more  FLAIRS 2003»
    Alternate Strategies for Retrieval in State-Spaces
    14 years 11 months ago
    Alternate Strategies for Retrieval in State-Spaces
    Download  www.aaai.org
    In our previous research, we investigated the properties of case-based plan recognition with incomplete plan libraries. Incremental construction of plan libraries along with retri...
    Boris Kerkez, Michael T. Cox
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    FLAIRS
    2003
    142views Artificial Intelligence» more  FLAIRS 2003»
    Dispatching Cases versus Merging Case-Bases: When MCBR Matters
    14 years 11 months ago
    Dispatching Cases versus Merging Case-Bases: When MCBR Matters
    Download  www.aaai.org
    Multi-case-base reasoning (MCBR) extends case-based reasoning to draw on multiple case bases that may address somewhat different tasks. In MCBR, an agent selectively supplements i...
    David B. Leake, Raja Sooriamurthi
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    FLAIRS
    2003
    150views Artificial Intelligence» more  FLAIRS 2003»
    A Vector Space Equalization Scheme for a Concept-based Collaborative Information Retrieval System
    14 years 11 months ago
    A Vector Space Equalization Scheme for a Concept-based Collaborative Information Retrieval System
    Download  www.aaai.org
    This paper describes a vector space equalization scheme for a concept-based collaborative information retrieval system; evaluation results are given. The authors previously propos...
    Takashi Yukawa, Sen Yoshida, Kazuhiro Kuwabara
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    FLAIRS
    2003
    141views Artificial Intelligence» more  FLAIRS 2003»
    Learning from Reinforcement and Advice Using Composite Reward Functions
    14 years 11 months ago
    Learning from Reinforcement and Advice Using Composite Reward Functions
    Download  ranger.uta.edu
    1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
    Vinay N. Papudesi, Manfred Huber
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