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» Optimization in Data Mining
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PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 8 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
118
Voted
SDM
2010
SIAM
151views Data Mining» more  SDM 2010»
15 years 6 months ago
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
Hua Ouyang, Alexander Gray
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 6 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
ESOP
2006
Springer
15 years 8 months ago
Path Optimization in Programs and Its Application to Debugging
We present and solve a path optimization problem on programs. Given a set of program nodes, called critical nodes, we find a shortest path through the program's control flow g...
Akash Lal, Junghee Lim, Marina Polishchuk, Ben Lib...
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
15 years 10 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg