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» Kernel Methods for Pattern Analysis
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PR
2006
152views more  PR 2006»
13 years 7 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke
PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
14 years 29 days ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
IJON
2008
65views more  IJON 2008»
13 years 7 months ago
Batch kernel SOM and related Laplacian methods for social network analysis
Romain Boulet, Bertrand Jouve, Fabrice Rossi, Nath...
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
14 years 8 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...