3251 search results - page 357 / 651 » On a vector q-d algorithm |
159
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JCP
2008
15 years 4 months ago
2008
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
135
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CSDA
2007
15 years 4 months ago
2007
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
127
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SIAMJO
2008
15 years 4 months ago
2008
This paper extends the regularized smoothing Newton method in vector optimization to symmetric cone optimization, which provide a unified framework for dealing with the nonlinear ...
133
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IPL
2007
15 years 4 months ago
2007
We study a model that incorporates a budget constraint in a decision making problem. Our goal is to maximize the expected wealth, where in each time period we can either stop the ...
131
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CORR
2002
Springer
15 years 4 months ago
2002
Springer
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...