161 search results - page 18 / 33 » Least Squares SVM for Least Squares TD Learning |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
ICONIP
2010
13 years 6 months ago
2010
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
ML
2012
ACM
12 years 3 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...