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ESANN
2004
13 years 11 months ago
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
ICA
2004
Springer
14 years 3 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott
NIPS
1997
13 years 11 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
JMLR
2010
198views more  JMLR 2010»
13 years 8 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 3 months ago
Enhanced forma analysis of permutation problems
Forma analysis provides an approach to formally derive domain specific operators based on domain-independent operator templates by manipulating a set of equivalence relations (i....
Tao Gong, Andrew Tuson