1347 search results - page 13 / 270 » Feature Selection Algorithms: A Survey and Experimental Eval... |
CIKM
2004
Springer
14 years 1 months ago
2004
Springer
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
EWCBR
2006
Springer
13 years 11 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
MIDDLEWARE
2004
Springer
14 years 1 months ago
2004
Springer
In recent years, the gossip-based communication model in large-scale distributed systems has become a general paradigm with important applications which include information dissemi...
PRL
1998
13 years 7 months ago
1998
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...