1062 search results - page 136 / 213 » Sublinear Optimization for Machine Learning |
149
Voted
IJON
2006
15 years 2 months ago
2006
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
123
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PAMI
2010
15 years 20 days ago
2010
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
114
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
128
Voted
KDD
2006
ACM
16 years 2 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
119
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CEAS
2007
Springer
15 years 6 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...