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» Feature Generation Using General Constructor Functions
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BIRD
2007
Springer
117views Bioinformatics» more  BIRD 2007»
14 years 2 months ago
Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction
More and more proteins have been observed to display functions through intrinsic disorder. Such structurally flexible regions are shown to play important roles in biological proces...
Chung-Tsai Su, Tong-Ming Hsu, Chien-Yu Chen, Yu-Ye...
AI
1998
Springer
14 years 17 days ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
AUTOMATICA
2007
191views more  AUTOMATICA 2007»
13 years 8 months ago
Navigation function-based visual servo control
Abstract: I n this paper, the mapping between the desired camera feature vector and the desired camera pose (i.e., the position, and orientation) is investigated to develop a measu...
Jian Chen, Darren M. Dawson, Warren E. Dixon, Vila...
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
14 years 2 hour ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
COLT
1999
Springer
14 years 19 days ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...