879 search results - page 34 / 176 » Forecasting high-dimensional data |
111
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MMAS
2011
Springer
14 years 4 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
87
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MICAI
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
165
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ICDE
2003
IEEE
15 years 11 months ago
2003
IEEE
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
182
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ICDE
2000
IEEE
15 years 11 months ago
2000
IEEE
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...