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GPEM
2002
104views more  GPEM 2002»
14 years 11 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
SIGMETRICS
1998
ACM
14 years 11 months ago
Scheduling with Implicit Information in Distributed Systems
Implicitcoscheduling is a distributed algorithm fortime-sharing communicating processes in a cluster of workstations. By observing and reacting to implicit information, local sche...
Andrea C. Arpaci-Dusseau, David E. Culler, Alan M....
TVLSI
1998
81views more  TVLSI 1998»
14 years 11 months ago
Maximum power estimation for CMOS circuits using deterministic and statistical approaches
— Excessive instantaneous power consumption may reduce the reliability and performance of VLSI chips. Hence, to synthesize circuits with high reliability, it is imperative to efï...
Chuan-Yu Wang, Kaushik Roy
TCAD
2002
91views more  TCAD 2002»
14 years 11 months ago
Retiming and clock scheduling for digital circuit optimization
Abstract--This paper investigates the application of simultaneous retiming and clock scheduling for optimizing synchronous circuits under setup and hold constraints. Two optimizati...
Xun Liu, Marios C. Papaefthymiou, Eby G. Friedman
PR
2007
107views more  PR 2007»
14 years 11 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris