148 search results - page 18 / 30 » Learning a kernel function for classification with small tra... |
ECML
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...