168 search results - page 13 / 34 » Feature selection focused within error clusters |
ISCIS
2009
Springer
14 years 2 months ago
2009
Springer
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
CSDA
2007
13 years 7 months ago
2007
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
ITS
2010
Springer
14 years 9 days ago
2010
Springer
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
BMCBI
2010
13 years 7 months ago
2010
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...