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» The Kernel Least-Mean-Square Algorithm
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136
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CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
14 years 10 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
141
Voted
IJCNN
2000
IEEE
15 years 7 months ago
Support Vector Machines Based on a Semantic Kernel for Text Categorization
We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the def...
George Siolas, Florence d'Alché-Buc
125
Voted
DGCI
2006
Springer
15 years 7 months ago
A New 3D Parallel Thinning Scheme Based on Critical Kernels
Critical kernels constitute a general framework settled in the of abstract complexes for the study of parallel thinning in any dimension. We take advantage of the properties of thi...
Gilles Bertrand, Michel Couprie
135
Voted
ACL
2008
15 years 4 months ago
Text Segmentation with LDA-Based Fisher Kernel
In this paper we propose a domainindependent text segmentation method, which consists of three components. Latent Dirichlet allocation (LDA) is employed to compute words semantic ...
Qi Sun, Runxin Li, Dingsheng Luo, Xihong Wu
102
Voted
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 3 months ago
Hitting forbidden minors: Approximation and Kernelization
We study a general class of problems called F -Deletion problems. In an F -Deletion problem, we are asked whether a subset of at most k vertices can be deleted from a graph G such...
Fedor V. Fomin, Daniel Lokshtanov, Neeldhara Misra...