2512 search results - page 398 / 503 » Learning from Highly Structured Data by Decomposition |
157
click to vote
SOCO
2002
Springer
15 years 3 months ago
2002
Springer
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
134
Voted
AAAI
1990
15 years 5 months ago
1990
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
124
click to vote
BMCBI
2008
15 years 4 months ago
2008
Background: The zebrafish is a powerful model vertebrate amenable to high throughput in vivo genetic analyses. Examples include reverse genetic screens using morpholino knockdown,...
143
click to vote
CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
137
Voted
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...