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NN
2006
Springer
120views Neural Networks» more  NN 2006»
13 years 9 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
ICML
2005
IEEE
14 years 10 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
ALT
2008
Springer
14 years 6 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
IAT
2003
IEEE
14 years 2 months ago
Asymmetric Multiagent Reinforcement Learning
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Ville Könönen
ECTEL
2006
Springer
14 years 25 days ago
Data and Application Integration in Learning Content Management Systems: A Web Services Approach
This paper describes a service-oriented approach for the integration of third-party external applications and resources into an existing open source eLearning environment. We detai...
Ivan Madjarov, Omar Boucelma