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» Learning and Generalization with the Information Bottleneck
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SIGCSE
2004
ACM
125views Education» more  SIGCSE 2004»
15 years 3 months ago
Agent-based cooperative learning: a proof-of-concept experiment
This paper presents an innovative multiagent system to support cooperative learning among students both in the real classrooms and in distance education. The system, called I-MIND...
Leen-Kiat Soh, Hong Jiang, Charles Ansorge
ATAL
2010
Springer
14 years 10 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
NPL
2010
135views more  NPL 2010»
14 years 8 months ago
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
FOIKS
2008
Springer
15 years 7 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ATAL
2006
Springer
15 years 1 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli