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QEST
2008
IEEE
16 years 1 months ago
Symbolic Magnifying Lens Abstraction in Markov Decision Processes
Magnifying Lens Abstraction in Markov Decision Processes ∗ Pritam Roy1 David Parker2 Gethin Norman2 Luca de Alfaro1 Computer Engineering Dept, UC Santa Cruz, Santa Cruz, CA, USA ...
Pritam Roy, David Parker, Gethin Norman, Luca de A...
VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
16 years 1 months ago
Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
Jie Tao, Wolfgang Karl
KI
2002
Springer
15 years 7 months ago
Advantages, Opportunities and Limits of Empirical Evaluations: Evaluating Adaptive Systems
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Stephan Weibelzahl, Gerhard Weber
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
16 years 7 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
AOSE
2005
Springer
16 years 24 days ago
Zooming Multi-Agent Systems
Abstract Complex systems call for a hierarchical description. Analogously, the engineering of non-trivial MASs (multiagent systems) requires principles and mechanisms for a multi-l...
Ambra Molesini, Andrea Omicini, Alessandro Ricci, ...