2918 search results - page 311 / 584 » Learning qualitative models from numerical data |
195
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
186
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BMCBI
2005
15 years 6 months ago
2005
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
167
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CIDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
205
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MM
2009
ACM
16 years 1 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
151
Voted
ICMLA
2008
15 years 8 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...