396 search results - page 50 / 80 » Lossy Reduction for Very High Dimensional Data |
120
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IROS
2009
IEEE
15 years 6 months ago
2009
IEEE
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
JMLR
2010
14 years 6 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
AI
2004
Springer
14 years 11 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
119
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ICML
2007
IEEE
16 years 18 days 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 ...
116
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JMLR
2010
14 years 6 months ago
2010
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...