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129
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AUSAI
2008
Springer
15 years 5 months ago
Partial Order Hierarchical Reinforcement Learning
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-ta...
Bernhard Hengst
138
Voted
IEEECIT
2010
IEEE
15 years 2 months ago
Research on Case Learning System for Engineering Subject - Software Engineering as an Example
—The great appliance of engineering makes it different from other common subjects in teaching methods. This paper puts forward a concept of case learning that is constructed with...
Zhaocheng Wang, Cheng Yang
148
Voted
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 9 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
126
Voted
ATAL
2009
Springer
15 years 10 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
132
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ECML
2007
Springer
15 years 10 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen