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NIPS
2000
15 years 8 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio
AIR
2005
130views more  AIR 2005»
15 years 6 months ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
ICS
2003
Tsinghua U.
15 years 12 months ago
Selecting long atomic traces for high coverage
This paper performs a comprehensive investigation of dynamic selection for long atomic traces. It introduces a classification of trace selection methods and discusses existing and...
Roni Rosner, Micha Moffie, Yiannakis Sazeides, Ron...
EUROMICRO
2006
IEEE
15 years 10 months ago
Building Reconfigurable Component-Based OS with THINK
Dynamic reconfiguration allows modifying a system during its execution, and can be used to apply patches and updates, to implement adaptive systems, dynamic instrumentation, or to...
Juraj Polakovic, Ali Erdem Özcan, Jean-Bernar...
AAAI
2006
15 years 8 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis