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» Approximation Methods for Supervised Learning
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121
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IJDAR
2010
169views more  IJDAR 2010»
14 years 11 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
JMLR
2010
101views more  JMLR 2010»
14 years 7 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
128
Voted
AAAI
2011
14 years 19 days ago
A Feasible Nonconvex Relaxation Approach to Feature Selection
Variable selection problems are typically addressed under a penalized optimization framework. Nonconvex penalties such as the minimax concave plus (MCP) and smoothly clipped absol...
Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang
LREC
2008
120views Education» more  LREC 2008»
15 years 2 months ago
The U.S. Policy Agenda Legislation Corpus Volume 1 - a Language Resource from 1947 - 1998
We introduce the corpus of United States Congressional bills from 1947 to 1998 for use by language research communities. The U.S. Policy Agenda Legislation Corpus Volume 1 (USPALC...
Stephen Purpura, John Wilkerson, Dustin Hillard
109
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BMCBI
2006
72views more  BMCBI 2006»
15 years 21 days ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...