65 search results - page 5 / 13 » Convergence of a Generalized Gradient Selection Approach for... |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
HIS
2001
13 years 10 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
PR
2007
13 years 8 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
GECCO
2006
Springer
14 years 8 days ago
2006
Springer
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...