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    ESANN
    2007
    112views Neural Networks» more  ESANN 2007»
    Model Selection for Kernel Probit Regression
    14 years 1 months ago
    Model Selection for Kernel Probit Regression
    Download  www.dice.ucl.ac.be
    Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
    Gavin C. Cawley
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    ESANN
    2007
    130views Neural Networks» more  ESANN 2007»
    "Kernelized" Self-Organizing Maps for Structured Data
    14 years 1 months ago
    "Kernelized" Self-Organizing Maps for Structured Data
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    The suitability of the well known kernels for trees, and the lesser known SelfOrganizing Map for Structures for categorization tasks on structured data is investigated in this pap...
    Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
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    ESANN
    2007
    187views Neural Networks» more  ESANN 2007»
    Toward a robust 2D spatio-temporal self-organization
    14 years 1 months ago
    Toward a robust 2D spatio-temporal self-organization
    Download  www.dice.ucl.ac.be
    Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
    Thomas Girod, Laurent Bougrain, Frédé...
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    ESANN
    2007
    136views Neural Networks» more  ESANN 2007»
    Complexity bounds of radial basis functions and multi-objective learning
    14 years 1 months ago
    Complexity bounds of radial basis functions and multi-objective learning
    Download  www.dice.ucl.ac.be
    In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is con...
    Illya Kokshenev, Antônio de Pádua Bra...
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    ESANN
    2007
    84views Neural Networks» more  ESANN 2007»
    Human motion recognition using Nonlinear Transient Computation
    14 years 1 months ago
    Human motion recognition using Nonlinear Transient Computation
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    A novel approach to human motion recognition is proposed that is based on a variation of the Nonlinear Transient Computation Machine (NTCM). The motion data used to train the NTCM ...
    Nigel Crook, Wee Jin Goh
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    ESANN
    2007
    110views Neural Networks» more  ESANN 2007»
    A neural model of cross-modal association in insects
    14 years 1 months ago
    A neural model of cross-modal association in insects
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    Abstract. We developed a computational model of learning in the Mushroom Body, a region of multimodal integration in the insect brain. Using realistic neural dynamics and a biologi...
    Jan Wessnitzer, Barbara Webb
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    ESANN
    2007
    125views Neural Networks» more  ESANN 2007»
    A new feature selection scheme using data distribution factor for transactional data
    14 years 1 months ago
    A new feature selection scheme using data distribution factor for transactional data
    Download  www.dice.ucl.ac.be
    A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
    Piyang Wang, Tommy W. S. Chow
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    ESANN
    2007
    117views Neural Networks» more  ESANN 2007»
    An overview of reservoir computing: theory, applications and implementations
    14 years 1 months ago
    An overview of reservoir computing: theory, applications and implementations
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    Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
    Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
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    ESANN
    2007
    99views Neural Networks» more  ESANN 2007»
    Transition from initialization to working stage in biologically realistic networks
    14 years 1 months ago
    Transition from initialization to working stage in biologically realistic networks
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    Natural cortical neurons form functional networks through a complex set of developmental steps. A key process in early development is the transition of the spontaneous network dyna...
    Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...
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    ESANN
    2007
    89views Neural Networks» more  ESANN 2007»
    Sparsely-connected associative memory models with displaced connectivity
    14 years 1 months ago
    Sparsely-connected associative memory models with displaced connectivity
    Download  homepages.feis.herts.ac.uk
    Abstract. Our work is concerned with finding optimum connection strategies in highperformance associative memory models. Taking inspiration from axonal branching in biological neur...
    Lee Calcraft, Rod Adams, Neil Davey
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