641 search results - page 53 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IDA
2010
Springer
14 years 8 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Topic representation mismatch is a key problem in topic-oriented summarization for the specified topic is usually too short to understand/interpret. This paper proposes a novel ad...
100
click to vote
ICMCS
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
140
click to vote
FOCS
2010
IEEE
14 years 7 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
ICCS
2007
Springer
15 years 3 months ago
2007
Springer
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...