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    » Genomic computing networks learn complex POMDPs
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    ACL
    2010
    175views Computational Linguistics» more  ACL 2010»
    Towards Relational POMDPs for Adaptive Dialogue Management
    13 years 4 months ago
    Towards Relational POMDPs for Adaptive Dialogue Management
    Download  aclweb.org
    Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...
    Pierre Lison
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    AIPS
    2008
    148views Artificial Intelligence» more  AIPS 2008»
    Bounded-Parameter Partially Observable Markov Decision Processes
    13 years 8 months ago
    Bounded-Parameter Partially Observable Markov Decision Processes
    Download  www.aaai.org
    The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
    Yaodong Ni, Zhi-Qiang Liu
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    ICANN
    2007
    Springer
    102views Neural Networks» more  ICANN 2007»
    Incremental One-Class Learning with Bounded Computational Complexity
    14 years 12 days ago
    Incremental One-Class Learning with Bounded Computational Complexity
    Download  www.inf.ed.ac.uk
    Rowland R. Sillito, Robert B. Fisher
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    FOCI
    2007
    IEEE
    209views Applied Computing» more  FOCI 2007»
    Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
    14 years 17 days ago
    Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
    Download  bi.snu.ac.kr
    Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
    Byoung-Tak Zhang
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 6 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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