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ICASSP
2011
IEEE
12 years 11 months ago
Stochastic optimization based on the Laplace transform order with applications to precoder designs
Stochastic optimization arising from precoding in a multi-antenna fading channel with channel mean feedback to maximize data rates is important but challenging. The use of relayin...
Minhua Ding, Keith Q. T. Zhang
BMCBI
2007
138views more  BMCBI 2007»
13 years 7 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
KDD
2004
ACM
142views Data Mining» more  KDD 2004»
14 years 8 months ago
Meta-classification of Multi-type Cancer Gene Expression Data
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Benny Y. M. Fung, Vincent T. Y. Ng
SENSYS
2005
ACM
14 years 1 months ago
Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea
Sensing technology is a cornerstone for many industrial applications. Manufacturing plants and engineering facilities, such as shipboard engine rooms, require sensors to ensure pr...
Lakshman Krishnamurthy, Robert Adler, Philip Buona...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 28 days ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga