1454 search results - page 112 / 291 » On High Dimensional Skylines |
187
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FSKD
2006
Springer
15 years 9 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
157
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ICMLA
2008
15 years 7 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
166
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IFIP12
2004
15 years 7 months ago
2004
Latent class models (LCM) represent the high dimensional data in a smaller dimensional space in terms of latent variables. They are able to automatically discover the patterns from...
141
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ESANN
2003
15 years 7 months ago
2003
We propose the use of the Gabriel graph for the exploratory analysis of potentially high dimensional labeled data. Gabriel graph is a subgraph of the Delaunay triangulation, which ...
171
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NIPS
1997
15 years 7 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...