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» Tackling Large State Spaces in Performance Modelling
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DAC
2009
ACM
16 years 2 months ago
SRAM parametric failure analysis
With aggressive technology scaling, SRAM design has been seriously challenged by the difficulties in analyzing rare failure events. In this paper we propose to create statistical ...
Jian Wang, Soner Yaldiz, Xin Li, Lawrence T. Pileg...
IPPS
1997
IEEE
15 years 5 months ago
An Architecture Workbench for Multicomputers
The large design space of modern computer architectures calls for performance modelling tools to facilitate the evaluation of different alternatives. In this paper, we give an ove...
Andy D. Pimentel, Louis O. Hertzberger
ICML
1999
IEEE
16 years 2 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
108
Voted
CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 5 months ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 7 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith