Sciweavers

641 search results - page 7 / 129
» Training Methods for Adaptive Boosting of Neural Networks
Sort
View
128
Voted
NPL
2006
172views more  NPL 2006»
15 years 14 days ago
Adapting RBF Neural Networks to Multi-Instance Learning
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...
Min-Ling Zhang, Zhi-Hua Zhou
52
Voted
JACIII
2008
67views more  JACIII 2008»
15 years 16 days ago
A Global Optimization Method RasID-GA for Neural Network Training
DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro H...
68
Voted
COR
2004
73views more  COR 2004»
15 years 11 days ago
Multilayer neural networks: an experimental evaluation of on-line training methods
Rafael Martí, Abdellah El-Fallahi
113
Voted
IWANN
2007
Springer
15 years 6 months ago
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
Daniel Rivero, Julian Dorado, Juan R. Rabuñ...
112
Voted
ICAI
2008
15 years 2 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang