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TEC
2012
197views Formal Methods» more  TEC 2012»
7 years 5 months ago
Improving Generalization Performance in Co-Evolutionary Learning
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Siang Yew Chong, Peter Tino, Day Chyi Ku, Xin Yao
ML
2012
ACM
385views Machine Learning» more  ML 2012»
7 years 10 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
EMNLP
2011
8 years 2 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
CDC
2010
IEEE
166views Control Systems» more  CDC 2010»
8 years 6 months ago
Nuclear norm regularization for overparametrized Hammerstein systems
—In this paper we study the overparametrization scheme for Hammerstein systems [1] in the presence of regularization. The quality of the convex approximation is analysed, that is...
Tillmann Falck, Johan A. K. Suykens, Johan Schouke...
TIT
1998
80views more  TIT 1998»
9 years 2 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
INFORMATICALT
2000
118views more  INFORMATICALT 2000»
9 years 2 months ago
Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estima...
Valdas Diciunas, Sarunas Raudys
TEC
2008
94views more  TEC 2008»
9 years 2 months ago
Measuring Generalization Performance in Coevolutionary Learning
Coevolutionary learning involves a training process where training samples are instances of solutions that interact strategically to guide the evolutionary (learning) process. One ...
Siang Yew Chong, Peter Tino, Xin Yao
CSDA
2007
105views more  CSDA 2007»
9 years 2 months ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
NIPS
2001
9 years 3 months ago
Generalization Performance of Some Learning Problems in Hilbert Functional Spaces
We investigate the generalization performance of some learning problems in Hilbert functional Spaces. We introduce a notion of convergence of the estimated functional predictor to...
T. Zhang
COLT
2000
Springer
9 years 6 months ago
Entropy Numbers of Linear Function Classes
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
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