Jerome H. Friedman

Publication Activity (10 Years)

Years Active: 1974-2024
Publications (10 Years): 7

Top Topics

Dissimilarity Matrix

Density Based Clustering Algorithm

Gradient Boosting

Sparsity Regularization

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jerome H. Friedman
Function Trees: Transparent Machine Learning. CoRR (2024)
Gilmer Valdes, Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas
Representational Gradient Boosting: Backpropagation in the Space of Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Gilmer Valdes, Wilmer Arbelo, Yannet Interian, Jerome H. Friedman
Lockout: Sparse Regularization of Neural Networks. CoRR (2021)
Jerome H. Friedman
Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations. CoRR (2020)
Jerome H. Friedman
Contrast Trees and Distribution Boosting. CoRR (2019)
Maarten M. Kampert, Jacqueline J. Meulman, Jerome H. Friedman
rCOSA: A Software Package for Clustering Objects on Subsets of Attributes. J. Classif. 34 (3) (2017)
Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand
Wavelet-based gradient boosting. Stat. Comput. 26 (1-2) (2016)
Vito Di Gesù, Giosuè Lo Bosco, Jerome H. Friedman
Intruders pattern identification. ICPR (2008)
Trevor Hastie, Jerome H. Friedman, Robert Tibshirani
Regularization paths and coordinate descent. KDD (2008)
Jerome H. Friedman
Recent Advances in Predictive (Machine) Learning. J. Classif. 23 (2) (2006)
Vito Di Gesù, Jerome H. Friedman
New Similarity Rules for Mining Data. WIRN/NAIS (2005)
Trevor Hastie, Robert Tibshirani, Jerome H. Friedman
Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma. Neural Comput. 15 (7) (2003)
Jerome H. Friedman, Nicholas I. Fisher
Bump hunting in high-dimensional data. Stat. Comput. 9 (2) (1999)
Jerome H. Friedman
On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality. Data Min. Knowl. Discov. 1 (1) (1997)
Jerome H. Friedman, Ron Kohavi, Yeogirl Yun
Lazy Decision Trees. AAAI/IAAI, Vol. 1 (1996)
Jerome H. Friedman
Adaptive Spline Networks. NIPS (1990)
Jerome H. Friedman, Margaret H. Wright
A Nested Partitioning Procedure for Numerical Multiple Integration. ACM Trans. Math. Softw. 7 (1) (1981)
Jon Louis Bentley, Jerome H. Friedman
Data Structures for Range Searching. ACM Comput. Surv. 11 (4) (1979)
Jon Louis Bentley, Jerome H. Friedman
Fast Algorithms for Constructing Minimal Spanning Trees in Coordinate Spaces. IEEE Trans. Computers 27 (2) (1978)
Jerome H. Friedman, Jon Louis Bentley, Raphael A. Finkel
An Algorithm for Finding Best Matches in Logarithmic Expected Time. ACM Trans. Math. Softw. 3 (3) (1977)
Jerome H. Friedman
A Recursive Partitioning Decision Rule for Nonparametric Classification. IEEE Trans. Computers 26 (4) (1977)
Mary Anne Fisherkeller, Jerome H. Friedman, John W. Tukey
PRIM-9: An Interactive Multi-dimensional Data Display and Analysis System. ACM Pacific (1975)
Jerome H. Friedman, Forest Baskett, Leonard J. Shustek
An Algorithm for Finding Nearest Neighbors. IEEE Trans. Computers 24 (10) (1975)
Jerome H. Friedman, John W. Tukey
A Projection Pursuit Algorithm for Exploratory Data Analysis. IEEE Trans. Computers 23 (9) (1974)