146 search results - page 19 / 30 » Online Gradient Descent Learning Algorithms |
HIS
2001
13 years 8 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...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
ICML
2009
IEEE
14 years 8 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...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ESANN
2006
13 years 8 months ago
2006
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...