1253 search results - page 36 / 251 » An Experimental and Theoretical Comparison of Model Selectio... |
179
Voted
BMCBI
2011
14 years 9 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
211
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KSEM
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Ontology mapping is one of the most important tasks for ontology interoperability and its main aim is to find semantic relationships between entities (i.e. concept, attri...
212
Voted
AUSAI
2007
Springer
15 years 9 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
198
Voted
AAAI
2011
14 years 5 months ago
2011
Variable selection problems are typically addressed under a penalized optimization framework. Nonconvex penalties such as the minimax concave plus (MCP) and smoothly clipped absol...
144
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CVPR
2005
IEEE
16 years 7 months ago
2005
IEEE
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...