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» Learning Functions from Imperfect Positive Data
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166
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AROBOTS
2008
158views more  AROBOTS 2008»
15 years 3 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
169
Voted
BMCBI
2008
220views more  BMCBI 2008»
15 years 3 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
128
Voted
MICCAI
2008
Springer
16 years 4 months ago
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visu...
Razvan Ioan Ionasec, Bogdan Georgescu, Eva Gassn...
109
Voted
ICETE
2004
101views Business» more  ICETE 2004»
15 years 5 months ago
Protecting Legacy Applications from Unicode
: While XML-based Web Service architectures are successfully turning the Web into an infrastructure for cooperating applications, not all problems with respect to interoperability ...
Erik Wilde
96
Voted
TREC
2003
15 years 5 months ago
SVM Approach to GeneRIF Annotation
In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging issue. To automatically annotate GeneRIF in a new lite...
Wen-Juan Hou, Chun-Yuan Teng, Chih Lee, Hsin-Hsi C...