Sciweavers

2512 search results - page 398 / 503
» Learning from Highly Structured Data by Decomposition
Sort
View
SOCO
2002
Springer
14 years 9 months ago
Granular neural web agents for stock prediction
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...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
AAAI
1990
14 years 11 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
BMCBI
2008
96views more  BMCBI 2008»
14 years 10 months ago
A PATO-compliant zebrafish screening database (MODB): management of morpholino knockdown screen information
Background: The zebrafish is a powerful model vertebrate amenable to high throughput in vivo genetic analyses. Examples include reverse genetic screens using morpholino knockdown,...
Michelle N. Knowlton, Tongbin Li, Yongliang Ren, B...
CVPR
2006
IEEE
15 years 12 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
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...
Christian Bauckhage, Thomas Käster, John K. T...
IJCNN
2006
IEEE
15 years 4 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— 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...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...