Jerome H. Friedman - Concepedia

Author

Jerome H. Friedman

Also Known As

Bentley, Jon LouisEfficient Worst-Case Data Structures For Range Searching., Friedman, J, Friedman, J., Friedman, J. H., Friedman, Jerome, Friedman, Jerome H., Friedman,Jerome H, J Friedman, J. Friedman, J. H. Friedman

251

Publications

214.5K

Citations

H-Index

122

Concepts

All Affiliations

Stanford University Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory University of California, Berkeley Lawrence Berkeley National Laboratory

About

Jerome H. Friedman is an author at Stanford University specializing in engineering, data science, and statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	46	57	146.9K
2	Business	6	6	12K
3	Management	6	6	33.1K
4	Education	2	2	2.6K
5	Language Studies	1	1	93

Jerome H. Friedman

Publications

162.8K

Citations

H-Index

Page 1

	Year	Citations
Greedy function approximation: A gradient boosting machine. Jerome H. Friedman The Annals of Statistics EngineeringMachine LearningData MiningPattern RecognitionGreedy Function Approximation	2001	27.3K
Classification and Regression Trees. Alexander Gordon, Leo Breiman, Jerome H. Friedman, Biometrics Data Analysis MethodEngineeringMachine LearningData ScienceData Mining	1984	23.8K
Classification and Regression Trees. John Van Ryzin, Leo Breiman, Jerome H. Friedman, Journal of the American Statistical Association Data ClassificationEngineeringMachine LearningData ScienceData Mining	1986	21K
Regularization Paths for Generalized Linear Models via Coordinate Descent Jerome H. Friedman, Trevor Hastie, Robert Tibshirani Journal of Statistical Software EngineeringMachine LearningRegularization PathHigh-dimensional MethodConvex Optimization	2010	16.3K
Regularization Paths for Generalized Linear Models via Coordinate Descent. Jerome H. Friedman, Trevor Hastie, Rob Tibshirani PubMed EngineeringMachine LearningHigh-dimensional MethodConvex OptimizationConvex Penalties	2010	14K
Multivariate Adaptive Regression Splines Jerome H. Friedman The Annals of Statistics EngineeringMultivariate AnalysisData ScienceData MiningBasis Functions	1991	8K
Stochastic gradient boosting Jerome H. Friedman Computational Statistics & Data Analysis EngineeringMachine LearningData ScienceData MiningPattern Recognition	2002	6.9K
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors) Jerome H. Friedman, Trevor Hastie, Robert Tibshirani The Annals of Statistics EngineeringMachine LearningText MiningClassification MethodData Science	2000	6.9K
Sparse inverse covariance estimation with the graphical lasso Jerome H. Friedman, Trevor Hastie, Robert Tibshirani Biostatistics	2007	6.4K
An Algorithm for Finding Best Matches in Logarithmic Expected Time Jerome H. Friedman, Jon Bentley, Raphael A. Finkel ACM Transactions on Mathematical Software EngineeringAlgorithmic LibraryAnalysis Of AlgorithmComputational ComplexityEmpirical Algorithmics	1977	2.8K

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