1323 search results - page 213 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ICMLC
2010
Springer
13 years 8 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
CONTEXT
1999
Springer
14 years 2 months ago
1999
Springer
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
JMLR
2010
13 years 5 months ago
2010
The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining technique...
TCSV
2008
13 years 10 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
AIIA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...