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    AGILEDC
    2007
    IEEE
    155views Software Engineering» more  AGILEDC 2007»
    Agile Program Management: Lessons Learned from the VeriSign Managed Security Services Team
    14 years 2 months ago
    Agile Program Management: Lessons Learned from the VeriSign Managed Security Services Team
    Download  www.agile2007.org
    This report examines how the VeriSign Managed Security Services team (MSS) has successfully extended agile software development practices to deal with a complex, multi-product dev...
    Peter Hodgkins, Luke Hohmann
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    NN
    2008
    Springer
    169views Neural Networks» more  NN 2008»
    Modeling a flexible representation machinery of human concept learning
    13 years 8 months ago
    Modeling a flexible representation machinery of human concept learning
    Download  cog.mgnt.stevens-tech.edu
    dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
    Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
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    BMCBI
    2008
    132views more  BMCBI 2008»
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    13 years 8 months ago
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    Download  www.cs.uno.edu
    Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
    Alexander G. Churbanov, Stephen Winters-Hilt
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    EUROCAST
    2007
    Springer
    182views Hardware» more  EUROCAST 2007»
    A k-NN Based Perception Scheme for Reinforcement Learning
    14 years 2 months ago
    A k-NN Based Perception Scheme for Reinforcement Learning
    Download  www.dia.fi.upm.es
    Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
    José Antonio Martin H., Javier de Lope Asia...
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    JMLR
    2008
    151views more  JMLR 2008»
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    13 years 8 months ago
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    Download  www.bcs.rochester.edu
    The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
    Manu Chhabra, Robert A. Jacobs
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