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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
16 years 1 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ISCA
2010
IEEE
314views Hardware» more  ISCA 2010»
15 years 11 months ago
Energy-performance tradeoffs in processor architecture and circuit design: a marginal cost analysis
Power consumption has become a major constraint in the design of processors today. To optimize a processor for energyefficiency requires an examination of energy-performance trade...
Omid Azizi, Aqeel Mahesri, Benjamin C. Lee, Sanjay...
155
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ISCC
2002
IEEE
15 years 11 months ago
Resource and performance management in wireless communication networks
In this paper, we study the problems of resource and performance management in channelized wireless networks. For identifying research issues systematically, we propose a research...
Chih-Hao Lin, Frank Yeong-Sung Lin
NSDI
2004
15 years 8 months ago
Beehive: O(1) Lookup Performance for Power-Law Query Distributions in Peer-to-Peer Overlays
Structured peer-to-peer hash tables provide decentralization, self-organization, failure-resilience, and good worst-case lookup performance for applications, but suffer from high ...
Venugopalan Ramasubramanian, Emin Gün Sirer
CEC
2010
IEEE
15 years 7 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...