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» Problems of learning in multi-agent systems
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ICMAS
2000
14 years 11 months ago
Distributed Case-Based Learning
Multi-agent systems exploiting case based reasoning techniques have to deal with the problem of retrieving episodes that are themselves distributed across a set of agents. From a ...
M. V. Nagendra Prasad
AIED
2005
Springer
15 years 3 months ago
The Andes Physics Tutoring System: Five Years of Evaluations
Andes is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem solving homewo...
Kurt VanLehn, Collin Lynch, Kay G. Schulze, Joel A...
AAAI
2006
14 years 11 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
ICDAR
2009
IEEE
15 years 4 months ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
NIPS
2004
14 years 11 months ago
Stable adaptive control with online learning
Learning algorithms have enjoyed numerous successes in robotic control tasks. In problems with time-varying dynamics, online learning methods have also proved to be a powerful too...
Andrew Y. Ng, H. Jin Kim