Searching for "Kernel Matching Pursuit." – sorted by Relevance.
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Kernel matching pursuit
- Kernel Matching Pursuit Pascal Vincent and Yoshua Bengio Dept. IRO, UniversitédeMontréal C.P. 6128
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Theory of matching pursuit
- analyse a second matching pursuit algorithm called kernel matching pursuit (KMP) which does not correspond
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An M-Ary KMP Classifier for Multi-Aspect Target Classification
- matching pursuits (KMP) algorithm was introduced in [2], wherein MP was applied to kernel basis functions
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~f0 = 0,
- Kernel Matching Pursuit Pascal Vincent and Yoshua BengioDept. IRO, Universit'e de Montr'eal C
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Online (and Offline) on an Even Tighter Budget
- of Kernel Matching Pursuit (KMP) (Vincent and Bengio, 2000). We show that this algorithm has good
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Building support vector machines with reduced classifier complexity
- function. 2 Building SVMs with reduced complexity et al., 2003) and Kernel Matching Pursuit (Vincent
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and. Fast Sparse Approximation for Least Square Support vector machines
- . The typical examples include kernel match pursuit (KMP) [21] and sparse greedy Gaussian process (SGGP) [27
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Journal of Machine Learning Research 7 (2006) 1493--1515 Submitted 10/05; Revised 3/06; Published 7/06 Building Support Vector Machines with
- models in a Bayesian setting; and Kernel Matching Pursuit (Vincent and Bengio, 2002) is a discriminative
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A matching pursuit approach to sparse Gaussian process regression
- matching pursuit. Kernel Matching Pursuit (Vincent and Bengio, 2002) is a sparse method for ordinary least
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A general regression technique for learning transductions
- ) (Vapnik, 1995), or Kernel Matching Pursuit (KMP) (Vincent & Bengio, 2000). SVR and KMP offer the advantage
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