101. John W. Tukey's Work On Interactive Graphics, Jerome H. Friedman, Werner Stuetzl jerome H. friedman and Werner Stuetzle Unpublished memorandum to JH friedman,PA Tukey and W. Stuetzle. TUKEY, JW (1982). Another look at the future. http://projecteuclid.org/Dienst/UI/1.0/Display/euclid.aos/1043351250

Current Issue Past Issues Search this Journal Editorial Board ... Other IMS and IMS Related Journals Jerome H. Friedman and Werner Stuetzle John W. Tukey's work on interactive graphics Source: Ann. Statist. Abstract: John's experiences with PRIM-9 gave rise to a slew of other ideas for the analysis of multivariate data, many of them not tied to interactive graphics. The most well known of those is "Projection Pursuit"automatically finding interesting low-dimensional projections of multivariate data by optimizing a projection index. John was also keenly interested in ways of detecting and modeling nonlinear structures in multivariate data which might not be manifest in projections, such as concentration of data near nonlinear lower dimensional manifolds. Many of his proposals exist only in the form of hand-written notes and appear "far out" even today. John's work on Prim-9 and Projection Pursuit lent respectability to computationally oriented, non mathematical research in Statistics. He moved the center of gravity away from an (over)emphasis on mathematical theory to a greater balance between methodology, theory, and applications and thereby helped revitalize the discipline of Statistics. References Primary Subjects: Seconday Subjects: Keywords: Visualization; projection pursuit; PRIM-9; exploratory data analysis;

102. Greedy Function Approximation: A Gradient Boosting Machine., Jerome H. Friedman jerome H. friedman friedman, JH (1991). Multivariate adaptive regressionsplines (with friedman JH, Hastie, T. and Tibshirani, R. (2000). http://projecteuclid.org/Dienst/UI/1.0/Display/euclid.aos/1013203451

Current Issue Past Issues Search this Journal Editorial Board ... Other IMS and IMS Related Journals Jerome H. Friedman Greedy function approximation: A gradient boosting machine. Source: Ann. Statist. Abstract: References Primary Subjects: Keywords: Function estimation; boosting; decision trees; robust nonparametric regression; Full-text: Open access Download the full-text in the following format: PDF (972 KB) Euclid Identifier: euclid.aos/1013203451 Digital Object Identifier (DOI): 10.1214/aos/1013203451 Mathmatical Reviews number (MathSciNet): Zentralblatt Math Identifier: To Table of Contents for this Issue References Becker, R. A. and Cleveland, W. S (1996). The design and control ofTrellis display. J. Comput. Statist. Graphics 5 123-155. Breiman, L. (1997). Pasting bites together for prediction in large data sets and on-line. Technical report, Dept. Statistics, Univ. California, Berkeley. Breiman, L. (1999). Prediction games and arcing algorithms. Neural Comp. 11 1493-1517. Breiman, L., Friedman, J. H., Olshen, R. and Stone, C. (1983). Classification and Regression Trees. Wadsworth, Belmont, CA.

103. Jerome Friedman Translate this page jerome friedman. jerome friedman sala de prensa. jerome friedman. jerome friedman.Físico estadounidense, nace en Chicago, y realiza sus estudios en la http://www.campusdeexcelencia.info/jerome-friedman.html

@import "/images/style.css"; @import "/styles/biografia.css"; Jerome Friedman inicio el proyecto los objetivos lo excelente la selección la ciencia el entorno los colaboradores cómo contactar enlaces de interés sala de prensa Jerome Friedman Físico estadounidense, nace en Chicago, y realiza sus estudios en la misma universidad hasta doctorarse en 1956, pasando el año siguiente a la de Stanford, y de allí, en 1960, al MIT (Massachusetts Institute of Technology), donde llegó a ser Jefe del departamento de Física. En Stanford tomó contacto con H. Kendall y R. Taylor, y el equipo se aplicó a aportar datos experimentales en relación con una teoría nueva, los quarks, hipotéticas subpartículas en que, según Gell-Mann y Zweig, se resolverían las partículas «elementales» (protones, electrones, neutrones). Los resultados obtenidos primero con el acelerador lineal de Stanford, continuados luego en el MIT, les llevaron a la conclusión de que los quarks, no sólo son un modelo conceptual de la estructura de la materia, sino una realidad física. Por estos trabajos, Friedman, Kendall y Taylor compartieron el Nobel de Física en 1990. Hoy en día es miembro del High Energy Advisory Panel del departamento de energías.

104. House Committee On Science jerome I. friedman INSTITUTE PROFESSOR MASSACHUSETTS INSTITUTE OF TECHNOLOGY.Mr. Chairman, Ms. Woolsey, members of the Subcommittee, I would like to thank http://www.house.gov/science/hearings/energy02/jul25/friedman.htm

Your browser does not support script Search Science Committee Pages Select number of results displayed per page TESTIMONY ON FUTURE DIRECTIONS FOR THE DEPARTMENT OF ENERGY'S OFFICE OF SCIENCE BEFORE THE HOUSE SCIENCE COMMITTEE SUBCOMMITTEE ON ENERGY JULY 25, 2002 JEROME I. FRIEDMAN INSTITUTE PROFESSOR MASSACHUSETTS INSTITUTE OF TECHNOLOGY Mr. Chairman, Ms. Woolsey, members of the Subcommittee, I would like to thank you for the opportunity to appear at this hearing to present my views about the Department of Energy's Office of Science. I would also like to express my appreciation for the sustained support that you and other members of the House Science Committee have provided for the DOE and for your commitment to improving DOE's ability to serve our national interests. I have been engaged in physics research and education for half a century, and I find it as exciting and rewarding as ever. But unlike some of my colleagues, I didn't start dreaming about science until I was about to graduate from high school. In fact, I received a scholarship to attend the Art Institute of Chicago Museum School and only at the last minute decided to seek admission to the University of Chicago to study physics. This change occurred as a result of reading a small book on relativity.

105. JSTOR Access Denied Remarks in SenateFRIEDMAN, jerome B. Remarks in Senate. Courts nomination to be district judge,S11961 7NO. Reports filed. Nomination To Be District Judge Committee on http://www.jstor.org/view/03610160/di008244/00p0056l/0

We're sorry. You do not have access to JSTOR from your current location. Options for Access to JSTOR Even though you do not have access to JSTOR from your current location, there may be another option for you. Please read the following options: US Participating Institution If you are trying to access JSTOR from an off campus location or are using a campus dial-in line that is not set up to provide access to restricted resources, you are not recognized as being affiliated with a participating site. You may wish to contact a librarian at your institution about local options for remote access. UK or Ireland Participating Institution Off-campus: Access via Athens If you are a member of a participating Higher Education institution in the UK or Ireland, please use JSTOR's Athens logon page On-campus: If you are on the campus of a participating JSTOR institution in the UK or Ireland and believe you should have access, your valid IP address has been overridden by the UK National Cache. (This may be due to your institution's configuration or your local browser's configuration of the local cache as a proxy.) You may try to bypass the National Cache by accessing JSTOR here Individual Account Holders If you have an account with a participating JSTOR publisher, please use the

106. Salford Data Mining 2006 Jerry friedman has contributed a remarkable array of topics and methodologies todata mining and machine learning during the last 25 years. http://www.salforddatamining.com/friedman.htm

Jerome Friedman June 1 - November 1, 2005 Accepting Abstract Submissions November 1, 2005 Abstract Submission Deadline (no flexibility) March 27 - 29, 2006 San Diego, California Pre-Conference Training March 29* - March 31, 2006 San Diego, California Conference * Conference begins with an evening welcome reception on March 29th June 5 - 6, 2006 Sydney, Australia Pre-Conference Training June 6 - 8, 2006 Sydney, Australia Conference During this time, he also introduced Projection Pursuit Regression (PPR) for predictive modeling and interactive data visualization. Although PPR has had only a modest following, it was arguably the first instance of a feed-forward, single hidden layer, back propagation neural network with a remarkable twist: the activation function is itself estimated as part of the learning process and the number of hidden units to use is determined dynamically in a stagewise process (1974, 1981, 1987). Finally, Jerry has written a series of expository articles and a substantial book seeking to explain data mining to experienced data analysts and to relate machine learning to statistical foundations. Taken together, this list of new methodology, including Salford Systems Data Mining, MARS, PRIM, PPR, and Gradient Boosting, constitutes one of the broadest ranges of contributions by any one person in the field. Conference Call for Abstracts Keynote Speakers Tutorials ... Previous Conferences

107. KM.RU Óíèâåðñàëüíàÿ ýíöèêëîïåäèÿ. ÔÐÈÄÌÀÍ Äæå The summary for this Russian page contains characters that cannot be correctly displayed in this language/character set. http://mega.km.ru/bes_98/encyclop.asp?TopicNumber=68724

A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Page 6     101-107 of 107    Back | 1  | 2  | 3  | 4  | 5  | 6