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» Using Machine Learning to Guide Architecture Simulation
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Publication
334views
14 years 5 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis
WSC
2004
13 years 9 months ago
Improving the Performance of Dispatching Rules in Semiconductor Manufacturing by Iterative Simulation
In this paper, we consider semiconductor manufacturing processes that can be characterized by a diverse product mix, heterogeneous parallel machines, sequence-dependent setup time...
Lars Mönch, Jens Zimmermann
SIGCOMM
2000
ACM
14 years 12 days ago
Endpoint admission control: Architectural issues and performance
The traditional approach to implementing admission control, as exemplified by the Integrated Services proposal in the IETF, uses a signalling protocol to establish reservations a...
Lee Breslau, Edward W. Knightly, Scott Shenker, Io...
DSRT
2008
IEEE
13 years 9 months ago
An Automated Mapping of Timed Functional Specification to a Precision Timed Architecture
Most common real-time embedded programming languages provide a means to specify functionality; however, they have few constructs to specify precise timing constraints. LabVIEW is ...
Shanna-Shaye Forbes, Hiren D. Patel, Edward A. Lee...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 8 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil