Jerome H. Friedman

According to our database, Jerome H. Friedman authored at least 27 papers between 1974 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Function Trees: Transparent Machine Learning.

Jerome H. Friedman

CoRR, 2024

2022

Representational Gradient Boosting: Backpropagation in the Space of Functions.

Gilmer Valdes, Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Lockout: Sparse Regularization of Neural Networks.

Gilmer Valdes, Wilmer Arbelo, Yannet Interian, Jerome H. Friedman

CoRR, 2021

2020

Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations.

Jerome H. Friedman

CoRR, 2020

2019

Contrast Trees and Distribution Boosting.

Jerome H. Friedman

CoRR, 2019

Expert-Augmented Machine Learning.

Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes

CoRR, 2019

2017

rCOSA: A Software Package for Clustering Objects on Subsets of Attributes.

Maarten M. Kampert, Jacqueline J. Meulman, Jerome H. Friedman

J. Classif., 2017

2016

Wavelet-based gradient boosting.

Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand

Stat. Comput., 2016

2009

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition.

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

Springer Series in Statistics, Springer, ISBN: 9780387848570, 2009

2008

Regularization paths and coordinate descent.

Trevor Hastie, Jerome H. Friedman, Robert Tibshirani

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Intruders pattern identification.

Vito Di Gesù, Giosuè Lo Bosco, Jerome H. Friedman

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006

Recent Advances in Predictive (Machine) Learning.

Jerome H. Friedman

J. Classif., 2006

2005

New Similarity Rules for Mining Data.

Vito Di Gesù, Jerome H. Friedman

Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

2003

Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma.

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

Neural Comput., 2003

2001

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Jerome H. Friedman, Robert Tibshirani

Springer Series in Statistics, Springer, ISBN: 978-0-387-21606-5, 2001

1999

Bump hunting in high-dimensional data.

Jerome H. Friedman, Nicholas I. Fisher

Stat. Comput., 1999

1997

On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality.

Jerome H. Friedman

Data Min. Knowl. Discov., 1997

1996

Lazy Decision Trees.

Jerome H. Friedman, Ron Kohavi, Yeogirl Yun

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1990

Adaptive Spline Networks.

Jerome H. Friedman

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1981

A Nested Partitioning Procedure for Numerical Multiple Integration.

Jerome H. Friedman, Margaret H. Wright

ACM Trans. Math. Softw., 1981

1979

Data Structures for Range Searching.

Jon Louis Bentley, Jerome H. Friedman

ACM Comput. Surv., 1979

1978

Fast Algorithms for Constructing Minimal Spanning Trees in Coordinate Spaces.

Jon Louis Bentley, Jerome H. Friedman

IEEE Trans. Computers, 1978

1977

An Algorithm for Finding Best Matches in Logarithmic Expected Time.

Jerome H. Friedman, Jon Louis Bentley, Raphael A. Finkel

ACM Trans. Math. Softw., 1977

A Recursive Partitioning Decision Rule for Nonparametric Classification.

Jerome H. Friedman

IEEE Trans. Computers, 1977

1975

An Algorithm for Finding Nearest Neighbors.

Jerome H. Friedman, Forest Baskett, Leonard J. Shustek

IEEE Trans. Computers, 1975

PRIM-9: An Interactive Multi-dimensional Data Display and Analysis System.

Mary Anne Fisherkeller, Jerome H. Friedman, John W. Tukey

Proceedings of the Data: Its Use, 1975

1974

A Projection Pursuit Algorithm for Exploratory Data Analysis.

Jerome H. Friedman, John W. Tukey

IEEE Trans. Computers, 1974