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» Optimization of Machine Descriptions for Efficient Use
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149
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CIARP
2010
Springer
15 years 1 months ago
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
Emanuele Frandi, Maria Grazia Gasparo, Stefano Lod...
143
Voted
JMLR
2010
187views more  JMLR 2010»
14 years 10 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
136
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 9 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
128
Voted
EMSOFT
2001
Springer
15 years 8 months ago
Compiler Optimizations for Adaptive EPIC Processors
Abstract. Advances in VLSI technology have lead to a tremendous increase in the density and number of devices that can be manufactured in a single microchip. One of the interesting...
Krishna V. Palem, Surendranath Talla, Weng-Fai Won...
JCP
2006
78views more  JCP 2006»
15 years 3 months ago
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
Ling Zhuang, Honghua Dai