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    IJCAI
    2007
    201views Artificial Intelligence» more  IJCAI 2007»
    Using Linear Programming for Bayesian Exploration in Markov Decision Processes
    13 years 10 months ago
    Using Linear Programming for Bayesian Exploration in Markov Decision Processes
    Download  www.cs.mcgill.ca
    A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
    Pablo Samuel Castro, Doina Precup
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    AEI
    1999
    120views more  AEI 1999»
    Genetic algorithms for designing multihop lightwave network topologies
    13 years 8 months ago
    Genetic algorithms for designing multihop lightwave network topologies
    Download  netlab.boun.edu.tr
    Multihop lightwave networks are a means of utilizing the large bandwidth of optical fibers. In these networks, each node has a fixed number of transmitters and receivers connected...
    Cenk Gazen, Cem Ersoy
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    PAMI
    2012
    318views Software Engineering» more  PAMI 2012»
    Face Recognition Using Sparse Approximated Nearest Points between Image Sets
    11 years 11 months ago
    Face Recognition Using Sparse Approximated Nearest Points between Image Sets
    Download  www.csse.uwa.edu.au
    —We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
    Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
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    BMCBI
    2008
    148views more  BMCBI 2008»
    Discovering biclusters in gene expression data based on high-dimensional linear geometries
    13 years 8 months ago
    Discovering biclusters in gene expression data based on high-dimensional linear geometries
    Download  www.biomedcentral.com
    Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
    Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
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    DATE
    2008
    IEEE
    136views Hardware» more  DATE 2008»
    A Framework of Stochastic Power Management Using Hidden Markov Model
    14 years 2 months ago
    A Framework of Stochastic Power Management Using Hidden Markov Model
    Download  www.date-conference.com
    - The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
    Ying Tan, Qinru Qiu
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