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» Learning and Domain Adaptation
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257
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WWW
2010
ACM
16 years 2 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
CE
2005
170views more  CE 2005»
15 years 7 months ago
Development of an environmental virtual field laboratory
Laboratory exercises, field observations and field trips are a fundamental part of many earth science and environmental science courses. Field observations and field trips can be ...
V. Ramasundaram, S. Grunwald, A. Mangeot, N. B. Co...
ECAI
1998
Springer
15 years 12 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans
COMAD
2009
15 years 8 months ago
A Feasibility Study on Automating the Automotive Insurance Claims Processing
In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
Jayanta Basak, Desmond Lim
230
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná