539 search results - page 9 / 108 » Automatic feature selection in neuroevolution |
IPMU
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
JAIR
2010
13 years 8 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...