791 search results - page 32 / 159 » Non-Linear Dimensionality Reduction |
134
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BMCBI
2010
15 years 4 months ago
2010
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
139
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IJON
2010
15 years 1 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
169
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SIAMSC
2008
15 years 4 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
171
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DEXAW
2007
IEEE
15 years 8 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
141
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ESANN
2004
15 years 5 months ago
2004
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...