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MASCOTS
2010
15 years 4 months ago
Black-Box Performance Modeling for Solid-State Drives
—Flash-based Solid-State Drives (SSDs) have become a promising alternative to magnetic Hard Disk Drives (HDDs) thanks to the large improvements in performance, power consumption,...
Shan Li, H. Howie Huang
FASE
2006
Springer
15 years 10 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
AGENTS
1999
Springer
15 years 10 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
JIRS
2008
100views more  JIRS 2008»
15 years 6 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ICCAD
1997
IEEE
127views Hardware» more  ICCAD 1997»
15 years 10 months ago
OPTIMIST: state minimization for optimal 2-level logic implementation
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
Robert M. Fuhrer, Steven M. Nowick