78 search results - page 8 / 16 » Radial Basis Function Networks and Complexity Regularization... |
NPL
2006
13 years 7 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
TEC
2008
13 years 7 months ago
2008
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
ESANN
2008
13 years 9 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
ISNN
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. Inter-residue contacts map prediction is one of the most important intermediate steps to the protein folding problem. In this paper, we focus on protein inter-residue con...
TNN
2010
13 years 2 months ago
2010
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...