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» Problems of learning in multi-agent systems
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CSL
2010
Springer
15 years 4 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
AAMAS
2002
Springer
15 years 3 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón
121
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CORR
2010
Springer
81views Education» more  CORR 2010»
15 years 4 months ago
Using machine learning to make constraint solver implementation decisions
Programs to solve so-called constraint problems are complex pieces of software which require many design decisions to be made more or less arbitrarily by the implementer. These dec...
Lars Kotthoff, Ian P. Gent, Ian Miguel
IADIS
2003
15 years 5 months ago
Educational Component Model for Adaptive Web-Based Courses
The primary business problem that a Learning Content Management System faces is to create just enough content, just in time, meeting the needs of different types of learners. A po...
Freddy Duitama, Bruno Defude, Amel Bouzeghoub, Cla...
AIM
2006
15 years 4 months ago
Companion Cognitive Systems: A Step towards Human-Level AI
We are developing Companion Cognitive Systems, a new kind of software that can be effectively treated as a collaborator. Aside from their potential utility, we believe this effort...
Kenneth D. Forbus, Thomas R. Hinrichs