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» Large Scale Learning of Active Shape Models
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BMCBI
2010
172views more  BMCBI 2010»
13 years 2 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 11 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 7 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy
OSDI
2008
ACM
13 years 9 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
HCW
1998
IEEE
13 years 11 months ago
Implementing Distributed Synthetic Forces Simulations in Metacomputing Environments
A distributed, parallel implementation of the widely used Modular Semi-Automated Forces ModSAF Distributed Interactive Simulation DIS is presented, with Scalable Parallel Processo...
Sharon Brunett, Dan Davis, Thomas Gottschalk, Paul...