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ATAL
2007
Springer
15 years 10 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
135
Voted
SEMWEB
2007
Springer
15 years 10 months ago
Semantic Enterprise Technologies
Abstract. Nowadays enterprises request information technologies that leverage structured and unstructured information for providing a single integrated view of business problems in...
Massimo Ruffolo, Luigi Guadagno, Inderbir Sidhu
144
Voted
WAPCV
2007
Springer
15 years 10 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
CVPR
2006
IEEE
15 years 10 months ago
Joint Recognition of Complex Events and Track Matching
We present a novel method for jointly performing recognition of complex events and linking fragmented tracks into coherent, long-duration tracks. Many event recognition methods re...
Michael T. Chan, Anthony Hoogs, Rahul Bhotika, A. ...
133
Voted
HASKELL
2006
ACM
15 years 10 months ago
Running the manual: an approach to high-assurance microkernel development
We propose a development methodology for designing and prototyping high assurance microkernels, and describe our application of it. The methodology is based on rapid prototyping a...
Philip Derrin, Kevin Elphinstone, Gerwin Klein, Da...
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