Least square regression with indefinite kernels and coefficient regularization
- 21 April 2010
- journal article
- Published by Elsevier BV in Applied and Computational Harmonic Analysis
- Vol. 30 (1), 96-109
- https://doi.org/10.1016/j.acha.2010.04.001
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Support vector machine classification with indefinite kernelsMathematical Programming Computation, 2009
- Spectral Algorithms for Supervised LearningNeural Computation, 2008
- On regularization algorithms in learning theoryJournal of Complexity, 2007
- Shannon sampling and function reconstruction from point valuesBulletin of the American Mathematical Society, 2004
- Gabor-based kernel pca with fractional power polynomial models for face recognitionIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Protein homology detection using string alignment kernelsBioinformatics, 2004
- Best Choices for Regularization Parameters in Learning Theory: On the Bias—Variance ProblemMathematische Annalen, 2002
- On the mathematical foundations of learningBulletin of the American Mathematical Society, 2001
- Regularization Networks and Support Vector MachinesAdvances in Computational Mathematics, 2000
- Theory of reproducing kernelsTransactions of the American Mathematical Society, 1950