WorldCat Identities

Friedman, J. H. (Jerome H.)

Overview
Works: 45 works in 127 publications in 1 language and 1,974 library holdings
Genres: Dictionaries 
Roles: Thesis advisor, Editor
Classifications: Q325.75, 006.31
Publication Timeline
Key
Publications about  J. H Friedman Publications about J. H Friedman
Publications by  J. H Friedman Publications by J. H Friedman
Most widely held works by J. H Friedman
The elements of statistical learning data mining, inference, and prediction by Trevor Hastie ( Book )
53 editions published between 2001 and 2013 in English and held by 1,154 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 full-color illustrations by Trevor Hastie ( Book )
9 editions published between 2001 and 2004 in English and held by 583 WorldCat member libraries worldwide
From statistics to neural networks : theory and pattern recognition applications by Vladimir S Cherkassky ( Book )
8 editions published in 1994 in English and held by 167 WorldCat member libraries worldwide
This volume provides a unified approach to the study of predictive learning, i.e., generalization from examples. It contains an up-to-date review and in-depth 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
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
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
Classification and regression trees by Leo Breiman ( Book )
2 editions published in 1984 in English and held by 4 WorldCat member libraries worldwide
Introduction to tree classification. Right sized trees and honest estimates. Splitting rules. Strengthening and interpreting. Medical diagnosis and prognosis. Mass spectra classification. regression trees. bayes rules and partitions. Optimal pruning. Construction of trees from a learning sample.Consistency
Estimating Optimal Transformations for Multiple Regression and Correlation by Leo Breiman ( Book )
2 editions published between 1982 and 1983 in English and held by 3 WorldCat member libraries worldwide
Nonlinear transformation of variables is a commonly used practice in regression problems. Two common goals are stabilization of error variance and asymmetrization/normalization of error distribution. A more comprehensive goal, and the one we adopt, is to find those transformations that produce the best fitting additive model. Knowledge of such transformations aid in the interpretation and understanding of the relationship between the response and predictors
Additive logistic regression : a statistical view of boosting by J. H Friedman ( Book )
2 editions published in 1998 in English and held by 3 WorldCat member libraries worldwide
An adaptive importance sampling procedure by J. H Friedman ( Book )
2 editions published in 1981 in English and held by 3 WorldCat member libraries worldwide
Monte Carlo calculations often require generation of a random sample of n-dimensional points drawn from a specified multivariate probability distribution. We present an importance sampling technique that can often greatly improve the efficiency of an acceptance/rejection generating method. The importance sampling function is defined as piecewise constant on a set of subregions, which are obtained by adaptively partitioning the sampling region so that the variation of density values within each subregion is relatively small. The partitioning strategy is based on multiparameter optimization to estimate the maximum and minimum of the original density function in each subregion. (Author)
Fast MARS by J. H Friedman ( )
2 editions published in 1993 in English and held by 2 WorldCat member libraries worldwide
A survey of algorithms and data structures by Jon Louis Bentley ( Book )
3 editions published in 1978 in English and Undetermined and held by 2 WorldCat member libraries worldwide
Projection Pursuit Methods for Data Analysis by Joseph H Friedman ( Book )
1 edition published in 1981 in English and held by 2 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 lower-dimensional projections of the data. Examples illustrating the methods are presented
A variable metric decision rule for nonparametric classification by J. H Friedman ( Book )
1 edition published in 1975 in English and held by 2 WorldCat member libraries worldwide
A dictionary of synonyms and antonyms with 5,000 words most often mispronounced by Joseph Devlin ( Book )
1 edition published in 1987 in English and held by 2 WorldCat member libraries worldwide
Lists thousands of words and their synonyms and antonyms; also includes pronunciation for 5000 commonly mispronounced words, and information about roots, prefixes, and suffixes
An algorithm for finding best matches in logarithmic time by J. H Friedman ( Book )
2 editions published in 1975 in Undetermined and English and held by 2 WorldCat member libraries worldwide
Smoothing of scatterplots by Joseph H Friedman ( Book )
2 editions published in 1982 in English and held by 2 WorldCat member libraries worldwide
A variable span scatterplot smoother based on local linear fits is described. Local cross-validation 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
Fast algorithms for constructing minimal spanning trees in coordinate spaces by Jon Louis Bentley ( Book )
1 edition published in 1975 in English and held by 2 WorldCat member libraries worldwide
Flexible metric nearest neighbor classification by J. H Friedman ( )
2 editions published in 1994 in English and held by 2 WorldCat member libraries worldwide
Ensemble learning for prediction by Bogdan E Popescu ( Book )
1 edition published in 2004 in English and held by 1 WorldCat member library worldwide
The goal of this dissertation is to study and develop automatic prediction technology that is accurate, fast and interpretable. The focus here is on decision tree ensembles methods and extensions. Characteristics of popular ensemble methods such as bagging, random forests and boosting are examined and leveraged to create new predictive methodology. The classic ensembles are integrated in an unifying paradigm, the Important Sampled Learning Ensembles. This framework explains some of the properties of these ensembles and suggests modifications that can significantly enhance their accuracy while dramatically improving their computational performance. The ISLES are two-stage algorithms having at the front-end a base learners ensemble generation routine followed by post-processing algorithms that perform a fast gradient directed regularized fit for regression, robust regression and classification. The post-processing algorithms developed here can also serve as a stand-alone toolkit for fitting large linear systems. Decision tree ensembles can generate rules that are fit together with the gradient directed regularized linear algorithms, leading to accurate and interpretable RuleFit models. ISLE and RuleFit are flexible methodologies, able to automatically handle non-linearities and interactions, mixtures of categorical and continuous variables with missing data, as well as feature selection
Topics in two-sample testing by Nelson C Ray ( )
1 edition published in 2013 in English and held by 1 WorldCat member library worldwide
Driven by recent advances in the collection of biological data, many such studies draw from heterogeneous datasources. We develop an idea of Jerome Friedman's to conduct two-sample testing using supervised learning procedures. In special cases, this technique generalizes the randomization t-test, for which an asymptotic normality result is known. Using Stein's method of exchangeable pairs, we produce Berry--Esseen-type bounds for the permutation t-statistic for the purpose of statistical inference. We demonstrate the use of kernel methods in two-sample testing on non-vectorial data (text and images), and apply multiple kernel learning (MKL) to the heterogeneous data domain. We show that these techniques can effectively synthesize signals from multiple datasources and produce interpretable weights that highlight the role of each component
 
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Audience level: 0.66 (from 0.17 for A dictiona ... to 0.92 for Two papers ...)
Alternative Names
Friedman, J.
Friedman, J. H.
Friedman, J. H. 1939-
Friedman, Jerome.
Friedman, Jerome 1939-
Friedman, Jerome H.
Friedman, Jerome H., 1939-
Languages
English (99)
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