Friedman, J. H. (Jerome H.)
Overview
Works:  87 works in 200 publications in 2 languages and 2,165 library holdings 

Genres:  Conference proceedings 
Roles:  Author, Thesis advisor, Editor 
Classifications:  Q325.75, 006.31 
Publication Timeline
.
Most widely held works by
J. H Friedman
The elements of statistical learning : data mining, inference, and prediction
by
Trevor Hastie(
Book
)
54 editions published between 2001 and 2013 in English and held by 1,214 WorldCat member libraries worldwide
"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics."Jacket
54 editions published between 2001 and 2013 in English and held by 1,214 WorldCat member libraries worldwide
"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics."Jacket
The elements of statistical learning : data mining, inference, and prediction : with 200 fullcolor illustrations
by
Trevor Hastie(
Book
)
8 editions published between 2001 and 2004 in English and held by 600 WorldCat member libraries worldwide
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines
8 editions published between 2001 and 2004 in English and held by 600 WorldCat member libraries worldwide
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines
From statistics to neural networks : theory and pattern recognition applications
by
Vladimir S Cherkassky(
Book
)
7 editions published in 1994 in English and held by 172 WorldCat member libraries worldwide
This volume provides a unified approach to the study of predictive learning, i.e., generalization from examples. It contains an uptodate review and indepth treatment of major issues and methods related to predictive learning in statistics, Artificial Neural Networks (ANN), and pattern recognition. Topics range from theoretical modeling and adaptive computational methods to empirical comparisons between statistical and ANN methods, and applications. Most contributions fall into one of the three themes: unified framework for the study of predictive learning in statistics and ANNs; similarities and differences between statistical and ANN methods for nonparametric estimation (learning); and fundamental connections between artificial and biological learning systems
7 editions published in 1994 in English and held by 172 WorldCat member libraries worldwide
This volume provides a unified approach to the study of predictive learning, i.e., generalization from examples. It contains an uptodate review and indepth treatment of major issues and methods related to predictive learning in statistics, Artificial Neural Networks (ANN), and pattern recognition. Topics range from theoretical modeling and adaptive computational methods to empirical comparisons between statistical and ANN methods, and applications. Most contributions fall into one of the three themes: unified framework for the study of predictive learning in statistics and ANNs; similarities and differences between statistical and ANN methods for nonparametric estimation (learning); and fundamental connections between artificial and biological learning systems
Data Analysis in Astronomy
by
V Di Gesù(
)
2 editions published in 1985 in English and held by 21 WorldCat member libraries worldwide
2 editions published in 1985 in English and held by 21 WorldCat member libraries worldwide
Data analysis in astronomy II
by
V Gesù(
)
2 editions published in 1986 in English and held by 18 WorldCat member libraries worldwide
2 editions published in 1986 in English and held by 18 WorldCat member libraries worldwide
Multidimensional additive spline approximation
by
J. H Friedman(
Book
)
5 editions published between 1980 and 1982 in English and held by 8 WorldCat member libraries worldwide
5 editions published between 1980 and 1982 in English and held by 8 WorldCat member libraries worldwide
Separating Signal From Background Using Ensembles of Rules
(
)
1 edition published in 2006 in English and held by 5 WorldCat member libraries worldwide
Machine learning has emerged as a important tool for separating signal events from associated background in high energy particle physics experiments. This paper describes a new machine learning method based on ensembles of rules. Each rule consists of a conjuction of a small number of simple statements (''cuts'') concerning the values of individual input variables. These rule ensembles produce predictive accuracy comparable to the best methods. However their principal advantage lies in interpretation. Because of its simple form, each rule is easy to understand, as is its influence on the predictive model. Similarly, the degree of relevance of each of the respective input variables can be assessed. Graphical representations are presented that can be used to ascertain the dependence of the model jointly on the variables used for prediction
1 edition published in 2006 in English and held by 5 WorldCat member libraries worldwide
Machine learning has emerged as a important tool for separating signal events from associated background in high energy particle physics experiments. This paper describes a new machine learning method based on ensembles of rules. Each rule consists of a conjuction of a small number of simple statements (''cuts'') concerning the values of individual input variables. These rule ensembles produce predictive accuracy comparable to the best methods. However their principal advantage lies in interpretation. Because of its simple form, each rule is easy to understand, as is its influence on the predictive model. Similarly, the degree of relevance of each of the respective input variables can be assessed. Graphical representations are presented that can be used to ascertain the dependence of the model jointly on the variables used for prediction
Two papers on range searching
by
Jon Louis Bentley(
Book
)
1 edition published in 1978 in English and held by 4 WorldCat member libraries worldwide
1 edition published in 1978 in English and held by 4 WorldCat member libraries worldwide
Additive logistic regression : a statistical view of boosting
by
J. H Friedman(
Book
)
3 editions published in 1998 in English and held by 4 WorldCat member libraries worldwide
3 editions published in 1998 in English and held by 4 WorldCat member libraries worldwide
SMART user's guide
by
J. H Friedman(
Book
)
4 editions published in 1984 in English and held by 4 WorldCat member libraries worldwide
This note describes software implementing the SMART(Smooth Multiple Additive Regression Technique) algorithm. SMART generalizes the projection pursuit method to classification and multiple response regression. SMART also provides a more efficient algorithm for single response projection pursuit regression. Originatorsupplied keywords include: Multiple response regression, Non parametric regression, Classification, and Discriminant analysis
4 editions published in 1984 in English and held by 4 WorldCat member libraries worldwide
This note describes software implementing the SMART(Smooth Multiple Additive Regression Technique) algorithm. SMART generalizes the projection pursuit method to classification and multiple response regression. SMART also provides a more efficient algorithm for single response projection pursuit regression. Originatorsupplied keywords include: Multiple response regression, Non parametric regression, Classification, and Discriminant analysis
Smoothing of scatterplots
by
J. H Friedman(
Book
)
4 editions published in 1982 in English and held by 4 WorldCat member libraries worldwide
A variable span scatterplot smoother based on local linear fits is described. Local crossvalidation is used to estimate the optimal span as a function of abscissa value. A rejection rule is suggested to make the smoother resistant against outliers. Computationally efficient algorithms making use of updating formulas and corresponding FORTRAN subroutines are presented
4 editions published in 1982 in English and held by 4 WorldCat member libraries worldwide
A variable span scatterplot smoother based on local linear fits is described. Local crossvalidation is used to estimate the optimal span as a function of abscissa value. A rejection rule is suggested to make the smoother resistant against outliers. Computationally efficient algorithms making use of updating formulas and corresponding FORTRAN subroutines are presented
Projection Pursuit Methods for Data Analysis
by
J. H Friedman(
Book
)
3 editions published in 1981 in English and held by 4 WorldCat member libraries worldwide
The report describes new procedures for multivariate regression and density estimation. The procedures construct models for regression surfaces and densities based on the information contained in suitably closer lowerdimensional projections of the data. Examples illustrating the methods are presented
3 editions published in 1981 in English and held by 4 WorldCat member libraries worldwide
The report describes new procedures for multivariate regression and density estimation. The procedures construct models for regression surfaces and densities based on the information contained in suitably closer lowerdimensional projections of the data. Examples illustrating the methods are presented
An algorithm for finding best matches in logarithmic time
by
J. H Friedman(
Book
)
3 editions published in 1975 in English and Undetermined and held by 3 WorldCat member libraries worldwide
3 editions published in 1975 in English and Undetermined and held by 3 WorldCat member libraries worldwide
Multivariate adaptive regression splines
by
J. H Friedman(
Book
)
3 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
3 editions published in 1990 in English and held by 3 WorldCat member libraries worldwide
Fast algorithms for constructing minimal spanning trees in coordinate spaces
by
Jon Louis Bentley(
Book
)
2 editions published in 1975 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1975 in English and held by 3 WorldCat member libraries worldwide
A variable metric decision rule for nonparametric classification
by
J. H Friedman(
Book
)
2 editions published in 1975 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1975 in English and held by 3 WorldCat member libraries worldwide
M and N plots
by
Persi Diaconis(
Book
)
3 editions published in 1980 in English and held by 3 WorldCat member libraries worldwide
3 editions published in 1980 in English and held by 3 WorldCat member libraries worldwide
Projection pursuit regression
by
J. H Friedman(
Book
)
3 editions published in 1980 in English and held by 3 WorldCat member libraries worldwide
3 editions published in 1980 in English and held by 3 WorldCat member libraries worldwide
Fast MARS
by
Stanford University(
)
2 editions published in 1993 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1993 in English and held by 2 WorldCat member libraries worldwide
Tōkeiteki gakushū no kiso : dēta mainingu suiron yosoku
(
Book
)
1 edition published in 2014 in Japanese and held by 2 WorldCat member libraries worldwide
1 edition published in 2014 in Japanese and held by 2 WorldCat member libraries worldwide
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Audience Level
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Related Identities
 Tibshirani, Robert Thesis advisor
 Hastie, Trevor Author
 Wechsler, Harry 1948 Editor
 Cherkassky, Vladimir S. Author Editor
 North Atlantic Treaty Organization Scientific Affairs Division
 Hastie, Trevor J. Author
 Crane, P.
 Levialdi, S.
 Scarsi, L.
 Gesù, V. Di Author
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Associated Subjects
Algorithms Approximation theory Artificial intelligence AstronomyData processing Bioinformatics BiologyData processing Computational biology Computational intelligence Computer science Computer vision Database management Data mining Data structures (Computer science) Decision support systems Distribution (Probability theory) Electronic data processing File organization (Computer science) Forecasting Inference Information retrieval Information storage and retrieval systems Machine learning Matching theoryData processing Mathematical statistics Mathematical statisticsComputer programs MathematicsData processing Nearest neighbor analysis (Statistics) Network analysis (Planning)Data processing Neural networks (Computer science) Numerical analysis Optical pattern recognition Pattern recognition systems Physics Regression analysis Scattering (Mathematics) Search theory Spline theory Statistical decision Statistics StatisticsComputer programs StatisticsMethodology Supervised learning (Machine learning) Trees (Graph theory)