641 search results - page 2 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
AAAI
2004
14 years 11 months ago
2004
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
ASC
2004
14 years 9 months ago
2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
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BMCBI
2006
14 years 9 months ago
2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...