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» Abstracting Reusable Cases from Reinforcement Learning
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AI
2006
Springer
15 years 1 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
DAGSTUHL
2003
14 years 11 months ago
How Should Control and Body Systems Be Coupled? A Robotic Case Study
Abstract. This study is intended to deal with the interdependency between control and body systems, and to discuss the “relationship as it should be” between these two systems....
Akio Ishiguro, Toshihiro Kawakatsu
SIGDIAL
2010
14 years 7 months ago
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
Srinivasan Janarthanam, Oliver Lemon
103
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JODL
2007
126views more  JODL 2007»
14 years 9 months ago
Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries
Abstract This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cybe...
Mark Gahegan, Ritesh Agrawal, Tawan Banchuen, Davi...
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
14 years 8 months ago
Apprenticeship learning via soft local homomorphisms
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
Abdeslam Boularias, Brahim Chaib-draa