312 search results - page 6 / 63 » Combined Optimization of Feature Selection and Algorithm Par... |
EMNLP
2008
13 years 9 months ago
2008
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
ECML
1998
Springer
13 years 11 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
DCC
2006
IEEE
14 years 7 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...