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» On space constrained set selection problems
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EDBT
2006
ACM
105views Database» more  EDBT 2006»
14 years 7 months ago
HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
Xiaohui Yu, Nick Koudas, Calisto Zuzarte
ICNC
2005
Springer
14 years 27 days ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
CASES
2006
ACM
14 years 1 months ago
A case study of multi-threading in the embedded space
The continuing miniaturization of technology coupled with wireless networks has made it feasible to physically embed sensor network systems into the environment. Sensor net proces...
Greg Hoover, Forrest Brewer, Timothy Sherwood
JMLR
2008
169views more  JMLR 2008»
13 years 7 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
IJRR
2008
139views more  IJRR 2008»
13 years 7 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal