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IJCAI
2003
15 years 7 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
TREC
2004
15 years 7 months ago
Columbia University in the Novelty Track at TREC 2004
Our system for the Novelty Track at TREC 2004 looks beyond sentence boundaries as well as within sentences to identify novel, nonduplicative passages. It tries to identify text sp...
Barry Schiffman, Kathleen McKeown
NIPS
1996
15 years 7 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
IJOE
2006
76views more  IJOE 2006»
15 years 6 months ago
Game-based dynamic simulations supporting technical education and training
Educational games may improve learning by taking advantage of the new knowledge and skills of today's students obtained from extensive use of interactive games. This paper des...
Tor Ivar Eikaas, Bjarne A. Foss, Ole K. Solbj&osla...
NPL
1998
175views more  NPL 1998»
15 years 6 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas