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The top documents tagged [loss function slide]
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loss function slide
The Common Methods to Determine the Parameters of Technical Standards Zhang Yue-yi China Ji Liang University.
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A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, IBM T.J.Watson Joe McCloskey, US Department.
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On the Optimality of Probability Estimation by Random Decision Trees Wei Fan IBM T.J.Watson.
214 views
Is Random Model Better? - On its accuracy and efficiency - Wei Fan IBM T.J.Watson Joint work with Haixun Wang, Philip S. Yu, and Sheng Ma.
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Lecture 7 Intermediate Targets, Money Supply or Interest rates?
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Multistep Virtual Metrology Approaches for Semiconductor Manufacturing Processes Presenter: Simone Pampuri (University of Pavia, Italy) Authors: Simone.
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Wind power scenario generation Geoffrey Pritchard University of Auckland by regression clustering.
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Classification and Feature Selection for Craniosynostosis Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew Speltz, Su-In Lee University of.
214 views
Cost-Sensitive Learning for Large- Scale Hierarchical Classification of Commercial Products Jianfu Chen, David S. Warren Stony Brook University.
215 views
Sparse Kernel Methods 1 Sparse Kernel Methods for Classification and Regression October 17, 2007 Kyungchul Park SKKU.
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1 On the Statistical Analysis of Dirty Pictures Julian Besag.
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Glimcher Decision Making. Signal Detection Theory With Gaussian Assumption Without Gaussian Assumption Equivalent to Maximum Likelihood w/o Cost Function.
224 views
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