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JMLR
2008
133views more  JMLR 2008»
13 years 9 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
RSFDGRC
2009
Springer
119views Data Mining» more  RSFDGRC 2009»
14 years 3 months ago
Interval Set Cluster Analysis: A Re-formulation
A new clustering strategy is proposed based on interval sets, which is an alternative formulation different from the ones used in the existing studies. Instead of using a single s...
Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao
JMLR
2008
117views more  JMLR 2008»
13 years 9 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
CSCLP
2003
Springer
14 years 2 months ago
Clustering for Disconnected Solution Sets of Numerical CSPs
This paper considers the issue of postprocessing the output of interval-based solvers for further exploitations when solving numerical CSPs with continuum of solutions. Most interv...
Xuan-Ha Vu, Djamila Sam-Haroud, Boi Faltings
NIPS
2004
13 years 10 months ago
Algebraic Set Kernels with Application to Inference Over Local Image Representations
This paper presents a general family of algebraic positive definite similarity functions over spaces of matrices with varying column rank. The columns can represent local regions ...
Amnon Shashua, Tamir Hazan