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CVPR
2007
IEEE
14 years 9 months ago
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
ECBS
2005
IEEE
160views Hardware» more  ECBS 2005»
14 years 1 months ago
Traceability-Driven Model Refinement for Test Case Generation
Testing complex Computer-Based Systems is not only a demanding but a very critical task. Therefore the use of models for generating test data is an important goal. Tool support du...
Matthias Riebisch, Michael Hübner
BMCBI
2008
186views more  BMCBI 2008»
13 years 7 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
JMLR
2010
159views more  JMLR 2010»
13 years 2 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 1 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint