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171
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PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 3 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
103
Voted
ML
2008
ACM
146views Machine Learning» more  ML 2008»
15 years 18 days ago
Improving maximum margin matrix factorization
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...
93
Voted
ECAI
2008
Springer
15 years 2 months ago
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel
We extend the resistance distance kernel to the domain of signed dissimilarity values, and show how it can be applied to collaborative rating prediction. The resistance distance is...
Jérôme Kunegis, Stephan Schmidt, Sahi...
PR
2006
152views more  PR 2006»
15 years 17 days 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
BMCBI
2008
228views more  BMCBI 2008»
15 years 23 days ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye