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FSTTCS
2006
Springer
15 years 11 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
GCC
2006
Springer
15 years 11 months ago
GPFlow: An Intuitive Environment for Web Based Scientific Workflow
Increasingly scientists are using collections of software tools in their research. These tools are typically used in concert, often necessitating laborious and error prone manual ...
Asbjørn Rygg, Paul Roe, On Wong
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 11 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
CBMS
2001
IEEE
15 years 11 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
CODES
2001
IEEE
15 years 11 months ago
Evaluating register file size in ASIP design
Interest in synthesis of Application Specific Instruction Set Processors or ASIPs has increased considerably and a number of methodologies have been proposed for ASIP design. A ke...
Manoj Kumar Jain, Lars Wehmeyer, Stefan Steinke, P...
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