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» Managing Complexity in Large Learning Robotic Systems
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ATAL
2010
Springer
13 years 9 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
DASFAA
2009
IEEE
253views Database» more  DASFAA 2009»
13 years 11 months ago
Implementing and Optimizing Fine-Granular Lock Management for XML Document Trees
Abstract. Fine-grained lock protocols with lock modes and lock granules adjusted to the various XML processing models, allow for highly concurrent transaction processing on XML tre...
Sebastian Bächle, Theo Härder, Michael P...
RBAC
1998
84views more  RBAC 1998»
13 years 9 months ago
Decentralized User-role Assignment for Web-based Intranets
The intricacy of security administration is one of the most challenging problems in large networked systems. This problem is especially serious in the Web environment, which consi...
Ravi S. Sandhu, Joon S. Park
ICDAR
2011
IEEE
12 years 7 months ago
Aletheia - An Advanced Document Layout and Text Ground-Truthing System for Production Environments
- Large-scale digitisation has led to a number of new possibilities with regard to adaptive and learning based methods in the field of Document Image Analysis and OCR. For ground t...
C. Clausner, Stefan Pletschacher, Apostolos Antona...
TASE
2010
IEEE
13 years 2 months ago
Clear and Precise Specification of Ecological Data Management Processes and Dataset Provenance
Abstract--With the availability of powerful computational and communication systems, scientists now readily access large, complicated derived datasets and build on those results to...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...