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ICML
2003
IEEE
16 years 7 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
ITS
2010
Springer
154views Multimedia» more  ITS 2010»
15 years 11 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 10 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
152
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AAAI
2008
15 years 8 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
IADIS
2004
15 years 7 months ago
Conceptualizing Student Learning Theory
The focus of this paper is on student learning theory. Use is made of an "analytic discovery tool" called Quantitative CyberQuest (QCQ) to help conceptualize the many go...
John Dickey, Richard Larkin