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116
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ICCBR
2010
Springer
15 years 7 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
140
Voted
ELPUB
2000
ACM
15 years 8 months ago
Exploiting Web Based Electronic Publishing in the Service of Regional Development: Lessons from Experience
Government institutions, businesses and individual members of society - at least in the developed world are increasingly required to become computer literate and knowledgeable abo...
Colin C. Charlton, Ian Finch, Janet Little, Irene ...
157
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ACL
2003
15 years 5 months ago
Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
Joohui An, Seungwoo Lee, Gary Geunbae Lee
138
Voted
ICML
2005
IEEE
16 years 4 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
101
Voted
ACL
2007
15 years 5 months ago
Automatic Acquisition of Ranked Qualia Structures from the Web
This paper presents an approach for the automatic acquisition of qualia structures for nouns from the Web and thus opens the possibility to explore the impact of qualia structures...
Philipp Cimiano, Johanna Wenderoth