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» Methods of Automatic Algorithm Generation
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153
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BIOCOMP
2007
15 years 4 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari
154
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NIPS
2008
15 years 4 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
143
Voted
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
15 years 4 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
134
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VMV
2007
118views Visualization» more  VMV 2007»
15 years 3 months ago
Interactive Model-based Image Registration
We present an interactive technique for the registration of captured images of elastic and rigid body parts in which the user is given flexible control over material specific de...
Thomas Schiwietz, Joachim Georgii, Rüdiger We...
157
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AIPS
2009
15 years 3 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
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