Friedman, Jerome H., 1939-....
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Friedman, J.
Friedman, J. H. (Jerome H.)
Friedman, Jerome H.
Jerome H. Friedman American statistician
Jerome H. Friedman American scientist
Friedman, Jerome (Jerome H.)
Friedman, J. H. (Jerome H.), 1939-
VIAF ID: 85500756 (Personal)
Permalink: http://viaf.org/viaf/85500756
Preferred Forms
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200 _ |
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Friedman
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Jerome H.
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1939-....
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100 1 _ ‡a Friedman, J.
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100 1 _
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Friedman, J. H.
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(Jerome H.)
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100 1 _ ‡a Friedman, J. H. ‡q (Jerome H.)
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100 1 _
‡a
Friedman, J. H.
‡q
(Jerome H.)
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100 1 _ ‡a Friedman, J. H. ‡q (Jerome H.)
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100 1 _ ‡a Friedman, J. H. ‡q (Jerome H.), ‡d 1939-
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100 1 _
‡a
Friedman, Jerome H.
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100 1 _ ‡a Friedman, Jerome H.
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100 1 _ ‡a Friedman, Jerome H. ‡d (1939- ).
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100 1 _
‡a
Friedman, Jerome H.
‡d
1939-
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100 1 _
‡a
Friedman, Jerome H.
‡d
1939-
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100 1 _ ‡a Friedman, Jerome H., ‡d 1939-
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100 1 _
‡a
Friedman, Jerome H.,
‡d
1939-....
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100 1 _ ‡a Friedman, Jerome ‡q (Jerome H.)
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100 0 _
‡a
Jerome H. Friedman
‡c
American scientist
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100 0 _
‡a
Jerome H. Friedman
‡c
American statistician
4xx's: Alternate Name Forms (26)
Works
| Title | Sources |
|---|---|
| Additive logistic regression: a statistical view of boosting |
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| Applications of a new subspace clustering algorithm (COSA) in medical systems biology |
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| Classification and regression trees |
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| Data analysis in astronomy II |
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| A dictionary of synonyms and antonyms with 5,000 words most often mispronounced |
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| DM i dansk rap 98 |
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| The elements of statistical learning : data mining, inference, and prediction |
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| Estimating Optimal Transformations for Multiple Regression and Correlation |
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| From statistics to neural networks theory and pattern recognition applications |
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| Greedy function approximation: A gradient boosting machine |
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| Multivariate Adaptive Regression Splines |
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| Multivariate Generalizations of the Wald-Wolfowitz and Smirnov Two-Sample Tests |
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| n89648779 |
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| Note on "Comparison of model selection for regression" by Vladimir Cherkassky and Yunqian Ma. |
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| An overview of predictive learning and function approximation, 1994: |
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| Proceedings of the statistical computing section, Cincinnati, Ohio,1982 |
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| Projection Pursuit Regression |
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| rCOSA: A Software Package for Clustering Objects on Subsets of Attributes |
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| Regularization Paths for Generalized Linear Models via Coordinate Descent |
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| Regularized Discriminant Analysis |
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| Sparse inverse covariance estimation with the graphical lasso |
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| SparseNet: Coordinate Descent With Nonconvex Penalties |
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| Strong rules for discarding predictors in lasso-type problems |
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| Tonggyehak euro baeuneun meosin reoning 2/e |
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| Two papers on range searching, 1978 |
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| Unsupervised Learning |
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| رگرسیون جستجوگر تصویر |
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| 통계학으로 배우는 머신러닝 2/e 스탠포드대학교 통계학과 교수에게 배우는 머신러닝의 원리 |
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| 射影追跡回帰 |
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