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» Training Methods for Adaptive Boosting of Neural Networks
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NPL
2006
172views more  NPL 2006»
13 years 10 months 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
JACIII
2008
67views more  JACIII 2008»
13 years 10 months ago
A Global Optimization Method RasID-GA for Neural Network Training
DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro H...
IWANN
2007
Springer
14 years 5 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...
ICAI
2008
14 years 8 days 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