387 search results - page 9 / 78 » Mining Approximative Descriptions of Sets Using Rough Sets |
RSKT
2009
Springer
14 years 2 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
RSFDGRC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
IBERAMIA
2004
Springer
14 years 1 months ago
2004
Springer
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
RSKT
2010
Springer
13 years 6 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
RSFDGRC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...