2925 search results - page 253 / 585 » Input Modeling Using Quantile Statistical Methods |
130
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
SOCO
2008
Springer
15 years 1 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
102
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IJON
2006
15 years 1 months ago
2006
We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used w...
110
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
100
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CHI
2007
ACM
16 years 1 months ago
2007
ACM
The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...