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AAAI
2008
14 years 12 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
BMCBI
2007
181views more  BMCBI 2007»
14 years 9 months ago
ASMPKS: an analysis system for modular polyketide synthases
Background: Polyketides are secondary metabolites of microorganisms with diverse biological activities, including pharmacological functions such as antibiotic, antitumor and agroc...
Hongseok Tae, Eun-Bae Kong, Kiejung Park
JPDC
2008
138views more  JPDC 2008»
14 years 9 months ago
Efficient parallel implementation of iterative reconstruction algorithms for electron tomography
Electron tomography (ET) combines electron microscopy and the principles of tomographic imaging in order to reconstruct the threedimensional structure of complex biological specim...
José-Jesús Fernández, Dan Gor...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
15 years 10 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
15 years 10 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais