6181 search results - page 759 / 1237 » Predictive Matrix-Variate t Models |
202
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ISSRE
2007
IEEE
15 years 8 months ago
2007
IEEE
In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important ...
189
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UAI
2000
15 years 7 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
174
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BMCBI
2006
15 years 6 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
183
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AAAI
2011
14 years 6 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
193
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...