129 search results - page 15 / 26 » Chemical Process Identification with Multiple Neural Network... |
NIPS
2007
13 years 9 months ago
2007
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
IWANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
ESOA
2006
13 years 11 months ago
2006
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— We propose a powerful symmetric kernel classifier for nonlinear detection in challenging rank-deficient multipleantenna aided communication systems. By exploiting the inheren...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...