248 search results - page 6 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
FLAIRS
2004
13 years 9 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...