2740 search results - page 134 / 548 » Approximating Component Selection |
137
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IWANN
2001
Springer
15 years 7 months ago
2001
Springer
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
119
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
128
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CORR
2007
Springer
15 years 2 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
126
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JMLR
2012
13 years 5 months ago
2012
Bisubmodularity extends the concept of submodularity to set functions with two arguments. We show how bisubmodular maximization leads to richer value-of-information problems, usin...
115
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CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...