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» Learning the required number of agents for complex tasks
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HIS
2004
14 years 11 months ago
Zamin, an Agent Based Artificial Life Model
Zamin artificial life model is designed to be a general purpose environment for researches on evolution of learning methods, living strategies and complex behaviors and is used in ...
Ramin Halavati, Saeed Bagheri Shouraki, Saman Hara...
104
Voted
MLMI
2004
Springer
15 years 2 months ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio
100
Voted
WEBI
2010
Springer
14 years 7 months ago
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions
Majority of the existing approaches to service composition, including the widely popular planning based techniques, are not able to automatically compose practical workflows that ...
Harini Veeraraghavan, Roman Vaculín, Manuel...
AAAI
2010
14 years 9 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
79
Voted
AAAI
1993
14 years 10 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons