641 search results - page 18 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
67
Voted
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modi ed Self Growing Neural Network Co...
71
Voted
ICAI
2008
14 years 11 months ago
2008
: This paper presents a new approach to equalization of communication channels using Artificial Neural Networks (ANNs). A novel method of training the ANNs using Tabu based Back Pr...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...