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    JAIR
    2002
    163views more  JAIR 2002»
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    14 years 9 months ago
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    Download  www.jair.org
    The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
    Xin Xu, Hangen He, Dewen Hu
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    KDD
    2008
    ACM
    150views Data Mining» more  KDD 2008»
    Hypergraph spectral learning for multi-label classification
    15 years 10 months ago
    Hypergraph spectral learning for multi-label classification
    Download  www.public.asu.edu
    A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
    Liang Sun, Shuiwang Ji, Jieping Ye
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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
    14 years 10 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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    TIP
    2011
    255views more  TIP 2011»
    Dictionary Learning for Stereo Image Representation
    14 years 4 months ago
    Dictionary Learning for Stereo Image Representation
    Download  infoscience.epfl.ch
    —One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
    Ivana Tosic, Pascal Frossard
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    SDM
    2012
    SIAM
    261views Data Mining» more  SDM 2012»
    Combining Active Learning and Dynamic Dimensionality Reduction
    13 years 9 days ago
    Combining Active Learning and Dynamic Dimensionality Reduction
    Download  www.cs.iit.edu
    To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
    Mustafa Bilgic
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