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AI
2009
Springer
15 years 8 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
ICDCSW
2006
IEEE
15 years 7 months ago
Improve Searching by Reinforcement Learning in Unstructured P2Ps
— Existing searching schemes in unstructured P2Ps can be categorized as either blind or informed. The quality of query results in blind schemes is low. Informed schemes use simpl...
Xiuqi Li, Jie Wu
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 7 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007
NAACL
2004
15 years 3 months ago
Ensemble-based Active Learning for Parse Selection
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
Miles Osborne, Jason Baldridge
PGLDB
2003
133views Database» more  PGLDB 2003»
15 years 2 months ago
Workflows in Learning Object (LO)-Oriented Web-Based E-Learning Delivery Environments
Effective e-learning environments should promote high cooperation. Workflow techniques can certainly contribute to such effectiveness because, in these environments, the creation ...
Luiz Antônio M. Pereira