2598 search results - page 81 / 520 » Experimental Design for Variable Selection in Data Bases |
198
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ISMAR
2003
IEEE
15 years 11 months ago
2003
IEEE
We introduce a set of statistical geometric tools designed to identify the objects being manipulated through speech and gesture in a multimodal augmented reality system. SenseShap...
192
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JMLR
2011
15 years 1 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
180
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
156
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
162
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CIDM
2007
IEEE
16 years 11 days ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...