622 search results - page 26 / 125 » Optimization method based extreme learning machine for class... |
ICMLC
2010
Springer
14 years 7 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
ICML
1997
IEEE
15 years 10 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
ISM
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper discusses the use of a combination of support vector machine and decision tree learning for recognizing four emotions in speech, which are Neutral, Angry, Lombard, and ...
IDEAL
2009
Springer
14 years 7 months ago
2009
Springer
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
FUIN
2002
14 years 9 months ago
2002
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...