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    NIPS
    1998
    131views Information Technology» more  NIPS 1998»
    Lazy Learning Meets the Recursive Least Squares Algorithm
    13 years 11 months ago
    Lazy Learning Meets the Recursive Least Squares Algorithm
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    Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
    Mauro Birattari, Gianluca Bontempi, Hugues Bersini
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    NIPS
    1998
    138views Information Technology» more  NIPS 1998»
    Dynamically Adapting Kernels in Support Vector Machines
    13 years 11 months ago
    Dynamically Adapting Kernels in Support Vector Machines
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    The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
    Nello Cristianini, Colin Campbell, John Shawe-Tayl...
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    NIPS
    1998
    112views Information Technology» more  NIPS 1998»
    Learning from Dyadic Data
    13 years 11 months ago
    Learning from Dyadic Data
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    Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
    Thomas Hofmann, Jan Puzicha, Michael I. Jordan
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    NIPS
    1998
    138views Information Technology» more  NIPS 1998»
    Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
    13 years 11 months ago
    Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
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    Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previo...
    Jaakko Hollmén, Volker Tresp
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    NIPS
    1998
    88views Information Technology» more  NIPS 1998»
    Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
    13 years 11 months ago
    Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
    Download  www.cs.ou.edu
    The execution order of a block of computer instructions can make a difference in its running time by a factor of two or more. In order to achieve the best possible speed, compiler...
    Amy McGovern, J. Eliot B. Moss
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