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» Neural networks: Algorithms and applications
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195
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DSN
2008
IEEE
16 years 1 months ago
Scheduling algorithms for unpredictably heterogeneous CMP architectures
In future large-scale multi-core microprocessors, hard errors and process variations will create dynamic heterogeneity, causing performance and power characteristics to differ amo...
Jonathan A. Winter, David H. Albonesi
EOR
2006
88views more  EOR 2006»
15 years 7 months ago
Nonessential objectives within network approaches for MCDM
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functio...
Tomas Gal, Thomas Hanne
182
Voted
ENGL
2007
71views more  ENGL 2007»
15 years 7 months ago
Inductive Classifying Artificial Network for Fly Ash Type Categorization
Nowadays, fly ash is a common ingredient of concrete and may constitute up to 50% by weight of the total binder material. Incorporation of fly ash in Portland-cement concrete is hi...
M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar
203
Voted
TNN
1998
254views more  TNN 1998»
15 years 7 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
211
Voted
WOSP
2004
ACM
16 years 27 days ago
Using locality of reference to improve performance of peer-to-peer applications
Peer-to-peer, or simply P2P, systems have recently emerged as a popular paradigm for building distributed applications. One key aspect of the P2P system design is the mechanism us...
Marcelo Werneck Barbosa, Melissa Morgado Costa, Ju...