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118
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IUI
2006
ACM
15 years 9 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
119
Voted
AGENTS
1998
Springer
15 years 7 months ago
A Multiagent Perspective of Parallel and Distributed Machine Learning
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Gerhard Weiß
140
Voted
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 10 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
112
Voted
FLAIRS
2000
15 years 4 months ago
A Parallel Approach to Modeling Language Learning and Understanding in Young Children
To reduce the complexity of studying a parallel mechanism for natural language learning and understanding which supports both utterance and discourse processing, we propose a comp...
Charles Hannon, Diane J. Cook
140
Voted
AAAI
2011
14 years 3 months ago
CCRank: Parallel Learning to Rank with Cooperative Coevolution
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...