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» Kernel Optimization in Discriminant Analysis
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IDA
1999
Springer
15 years 4 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»
15 years 5 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»
15 years 12 days 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»
15 years 14 days 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
15 years 1 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