594 search results - page 3 / 119 » Feature Selection for Value Function Approximation Using Bay... |
CAGD
2005
13 years 4 months ago
2005
In this paper, we propose a sharpness dependent filter design based on the fairing of surface normal, whereby the filtering algorithm automatically selects a filter. This may be a...
NIPS
2007
13 years 6 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
ML
2008
ACM
13 years 4 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
ICTAI
2009
IEEE
13 years 2 months ago
2009
IEEE
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...