654 search results - page 47 / 131 » TRUST-TECH based Methods for Optimization and Learning |
117
Voted
BMCBI
2010
15 years 24 days ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
123
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
IJCNLP
2005
Springer
15 years 6 months ago
2005
Springer
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire prec...
98
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
109
Voted
FOCI
2007
IEEE
15 years 7 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...