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IJCNN
2006
IEEE
15 years 9 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
124
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RECOMB
2007
Springer
16 years 3 months ago
Production-Passage-Time Approximation: A New Approximation Method to Accelerate the Simulation Process of Enzymatic Reactions
Abstract. Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This pap...
Hiroyuki Kuwahara, Chris J. Myers
BMCBI
2005
157views more  BMCBI 2005»
15 years 3 months ago
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method
Background: Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provi...
Qian Xie, Luke D. Ratnasinghe, Huixiao Hong, Roger...
ACMSE
2007
ACM
15 years 7 months ago
High-resolution displays enhancing geo-temporal data visualizations
Intelligence analysis is difficult due to the volume and complexity of the data, as well as the subtlety of the connections that have to be made in order to identify threats. Info...
John Booker, Timothy Buennemeyer, Andrew J. Sabri,...
GRID
2006
Springer
15 years 3 months ago
Personal Workspace for Large-Scale Data-Driven Computational Experiment
1 -- As the scale and complexity of data-driven computational science grows, so grows the burden on the scientists and students in managing the data products used and generated dur...
Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, B...