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COR
2007
134views more  COR 2007»
15 years 6 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
ISCI
2007
115views more  ISCI 2007»
15 years 6 months ago
Compressed histograms with arbitrary bucket layouts for selectivity estimation
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Dennis Fuchs, Zhen He, Byung Suk Lee
BMCBI
2005
121views more  BMCBI 2005»
15 years 6 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
TMC
2008
78views more  TMC 2008»
15 years 6 months ago
SELECT: Self-Learning Collision Avoidance for Wireless Networks
The limited number of orthogonal channels and autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on ...
Chun-cheng Chen, Eunsoo Seo, Hwangnam Kim, Haiyun ...
TON
2008
155views more  TON 2008»
15 years 6 months ago
A comparative analysis of server selection in content replication networks
Server selection plays an essential role in content replication networks, such as peer-to-peer (P2P) and content delivery networks (CDNs). In this paper, we perform an analytical i...
Tao Wu, David Starobinski