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» Kernel Optimization in Discriminant Analysis
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IDA
1999
Springer
14 years 1 months ago
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
A method for the linear discrimination of two classes has been proposed by us in 3 . It searches for the discriminant direction which maximizes the distance between the projected c...
Mayer Aladjem
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 2 months ago
A new optimization criterion for generalized discriminant analysis on undersampled problems
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun...
IJON
2006
119views more  IJON 2006»
13 years 8 months ago
Support vector machine for functional data classification
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
Fabrice Rossi, Nathalie Villa
BMCBI
2006
120views more  BMCBI 2006»
13 years 8 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
IJCAI
2007
13 years 10 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell