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» Parallelizing Feature Selection
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109
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DMIN
2006
114views Data Mining» more  DMIN 2006»
15 years 4 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
162
Voted
ICCBSS
2005
Springer
15 years 8 months ago
Using Goals and Quality Models to Support the Matching Analysis During COTS Selection
The selection process is a crucial activity of the development of COTS-based systems. A key step of the evaluation of COTS components carried out during selection is the matching b...
Carina Alves, Xavier Franch, Juan Pablo Carvallo, ...
IBPRIA
2009
Springer
15 years 6 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
121
Voted
ICMLA
2010
15 years 16 days ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz
158
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EMNLP
2008
15 years 4 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty