641 search results - page 8 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
NIPS
2003
14 years 7 days ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
IR
2010
13 years 9 months ago
2010
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
IJIT
2004
14 years 8 days ago
2004
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
CIG
2006
IEEE
14 years 5 months ago
2006
IEEE
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...