137 search results - page 3 / 28 » Quantifying the Impact of Learning Algorithm Parameter Tunin... |
ML
2002
ACM
13 years 5 months ago
2002
ACM
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
ICRA
2008
IEEE
14 years 6 days ago
2008
IEEE
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
NIPS
2008
13 years 7 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
GECCO
2009
Springer
14 years 10 days ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...