1364 search results - page 152 / 273 » Sampling Methods for Unsupervised Learning |
115
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NN
2008
Springer
15 years 2 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
122
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IEEEMM
2007
15 years 2 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
188
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
127
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MANSCI
2011
14 years 9 months ago
2011
This article develops a method for drawing samples from which it is impossible to infer any quantile or moment of the underlying distribution. The method provides researchers with...
203
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...