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ICPR
2000
IEEE
16 years 5 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
ICML
2003
IEEE
16 years 5 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ICANN
2005
Springer
15 years 9 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
ITS
2010
Springer
154views Multimedia» more  ITS 2010»
15 years 9 months ago
Exploring the Effectiveness of Social Capabilities and Goal Alignment in Computer Supported Collaborative Learning
In this study, we describe a conversational agent designed to support collaborative learning interactions between pairs of students. We describe a study in which we independently m...
Hua Ai, Rohit Kumar, Dong Nguyen, Amrut Nagasunder...
ICANN
2009
Springer
15 years 8 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai