879 search results - page 87 / 176 » Forecasting high-dimensional data |
104
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ICML
2007
IEEE
15 years 10 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 ...
ICIP
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
106
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CIBCB
2006
IEEE
15 years 3 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
ICCS
2005
Springer
15 years 3 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...