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    ICASSP
    2011
    IEEE
    181views Signal Processing» more  ICASSP 2011»
    Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
    13 years 11 days ago
    Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
    Download  mirlab.org
    The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
    Alberto Carini, V. John Mathews, Giovanni L. Sicur...
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    ALMOB
    2008
    69views more  ALMOB 2008»
    Learning from positive examples when the negative class is undetermined- microRNA gene identification
    13 years 8 months ago
    Learning from positive examples when the negative class is undetermined- microRNA gene identification
    Download  www.almob.org
    Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    CIE
    2006
    Springer
    126views Applied Computing» more  CIE 2006»
    On Graph Isomorphism for Restricted Graph Classes
    14 years 11 days ago
    On Graph Isomorphism for Restricted Graph Classes
    Download  www.informatik.hu-berlin.de
    Abstract. Graph isomorphism (GI) is one of the few remaining problems in NP whose complexity status couldn't be solved by classifying it as being either NP-complete or solvabl...
    Johannes Köbler
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    INFORMATICALT
    2006
    96views more  INFORMATICALT 2006»
    A Note about Total Stability of a Class of Hybrid Systems
    13 years 8 months ago
    A Note about Total Stability of a Class of Hybrid Systems
    Download  www.mii.lt
    Abstract. Robust stability results for nominally linear hybrid systems are obtained from total stability theorems for purely continuous-time and discrete-time systems. The class of...
    Manuel de la Sen
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    PR
    2007
    139views more  PR 2007»
    Learning the kernel matrix by maximizing a KFD-based class separability criterion
    13 years 8 months ago
    Learning the kernel matrix by maximizing a KFD-based class separability criterion
    Download  www.cs.ust.hk
    The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
    Dit-Yan Yeung, Hong Chang, Guang Dai
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