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» Training Methods for Adaptive Boosting of Neural Networks
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IJCNN
2006
IEEE
13 years 11 months ago
Greedy forward selection algorithms to Sparse Gaussian Process Regression
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
Ping Sun, Xin Yao
ICANN
2005
Springer
13 years 11 months ago
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
Pietro Berkes
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 10 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
APBC
2004
123views Bioinformatics» more  APBC 2004»
13 years 7 months ago
Empirical Knowledge and Genetic Algorithms for Selection of Amide I Frequencies in Protein Secondary Structure Prediction
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
Joachim A. Hering, Peter R. Innocent, Parvez I. Ha...
DSS
2008
186views more  DSS 2008»
13 years 5 months ago
A machine learning approach to web page filtering using content and structure analysis
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
Michael Chau, Hsinchun Chen