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» Perturbation based Large Margin Approach for Ranking
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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 5 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
WAW
2007
Springer
133views Algorithms» more  WAW 2007»
13 years 10 months ago
Distribution of PageRank Mass Among Principle Components of the Web
We study the PageRank mass of principal components in a bow-tie Web Graph, as a function of the damping factor c. Using a singular perturbation approach, we show that the PageRank ...
Konstantin Avrachenkov, Nelly Litvak, Kim Son Pham
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 6 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
13 years 9 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
GCB
2006
Springer
140views Biometrics» more  GCB 2006»
13 years 8 months ago
PALMA: Perfect Alignments using Large Margin Algorithms
: Despite many years of research on how to properly align sequences in the presence of sequencing errors, alternative splicing and micro-exons, the correct alignment of mRNA sequen...
Gunnar Rätsch, Bettina Hepp, Uta Schulze, Che...