218 search results - page 21 / 44 » A Neural Adaptive Algorithm for Feature Selection and Classi... |
BMCBI
2008
13 years 8 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
JCP
2006
13 years 8 months ago
2006
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
KDD
2010
ACM
14 years 15 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
DATAMINE
2006
13 years 8 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...