332 search results - page 4 / 67 » Ranking and selecting clustering algorithms using a meta-lea... |
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IJCAI
2007
13 years 10 months ago
2007
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
PRL
2010
13 years 6 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
ICONIP
2008
13 years 10 months ago
2008
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...