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168
Voted
PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
173
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ECTEL
2007
Springer
16 years 23 days ago
2007
Springer
This paper presents a dissertation project on business-integrated, service-oriented learning architectures. The isolation of corporate learning management from core business functi...
196
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KDD
1998
ACM
15 years 10 months ago
1998
ACM
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
185
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ALT
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
152
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ICALT
2005
IEEE
16 years 6 days ago
2005
IEEE
We discuss the design of language tools, and explore new approaches for the development of language-learning environments. We take a standpoint in the learning perspective labelle...