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» On Learning with Integral Operators
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ISMIS
2005
Springer
16 years 5 days ago
Scalable Inductive Learning on Partitioned Data
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
Qijun Chen, Xindong Wu, Xingquan Zhu
ITS
2010
Springer
168views Multimedia» more  ITS 2010»
15 years 11 months ago
Computational Workflows for Assessing Student Learning
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
Jun Ma, Erin Shaw, Jihie Kim
EELC
2006
113views Languages» more  EELC 2006»
15 years 10 months ago
A Hybrid Model for Learning Word-Meaning Mappings
Abstract. In this paper we introduce a model for the simulation of language evolution, which is incorporated in the New Ties project. The New Ties project aims at evolving a cultur...
Federico Divina, Paul Vogt
ATAL
2008
Springer
15 years 8 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
168
Voted
IJCAI
2007
15 years 8 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan