135 search results - page 22 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
COLT
2006
Springer
15 years 1 months ago
2006
Springer
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
81
Voted
NN
2008
Springer
14 years 9 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
IWANN
1999
Springer
15 years 1 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
ICMLA
2008
14 years 11 months ago
2008
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
68
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...