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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 6 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
EC
2006
121views ECommerce» more  EC 2006»
15 years 6 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
ALGORITHMICA
2004
132views more  ALGORITHMICA 2004»
15 years 6 months ago
A General Model for Authenticated Data Structures
Query answers from on-line databases can easily be corrupted by hackers or malicious database publishers. Thus it is important to provide mechanisms which allow clients to trust th...
Charles U. Martel, Glen Nuckolls, Premkumar T. Dev...
COLING
2010
15 years 1 months ago
HowNet and Its Computation of Meaning
The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgebase unveiling inter-conceptual relationships and interattribute relationships of...
Zhendong Dong, Qiang Dong, Changling Hao
LCTRTS
2007
Springer
16 years 20 days ago
Frequency-aware energy optimization for real-time periodic and aperiodic tasks
Energy efficiency is an important factor in embedded systems design. We consider an embedded system with a dynamic voltage scaling (DVS) capable processor and its system-wide pow...
Xiliang Zhong, Cheng-Zhong Xu