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1990, 1, Monographs on statistics and applied probability (Series), ISBN 0412343908, Volume 43, xv, 335
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the... 
Mathematical statistics | Mathematical models | Statistical Theory & Methods | Linear models (Statistics) | Smoothing (Statistics) | Regression analysis
Book
2001, Springer series in statistics., ISBN 9780387952840, 757
Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification... 
Supervised learning (Machine learning) | Data mining | Mathematical statistics
eBook
2013, Springer texts in statistics, ISBN 9781461471370, Volume 103, xvi, 426 pages
"An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the... 
Mathematical models | R (Computer program language) | Mathematical statistics | Statistics | Aktienkurs | Prognosemodell | Methode | Datenanalyse | Regression | Lernen | Gentechnologie | Medizin | Klassifikation | Statistische Methode | Lohnhöhe | Modell | Assoziation | Software | Statistik | Clusteranalyse | Data mining
Book
07/2016, Institute of Mathematical Statistics Monographs, ISBN 1107149894, Volume 5, 433
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine... 
Mathematical statistics
eBook
2015, Monographs on statistics and applied probability, ISBN 9781498712163, Volume 143, 367
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it... 
Statistical Theory & Methods | Statistical Computing | Machine Learning | Least squares | Linear models (Statistics) | Proof theory | Mathematical statistics
eBook
2001, Springer series in statistics., ISBN 9780387952840
eBook
Journal of computational and graphical statistics, ISSN 1537-2715, 04/2013, Volume 22, Issue 2, pp. 231 - 245
For high-dimensional supervised learning problems, often using problem-specific assumptions can lead to greater accuracy. For problems with grouped covariates,... 
Model | Regression | Penalize | Nesterov | Regularize | Regularization and the Lasso | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Mathematical problems | Algorithms | Mathematical models | Mathematical functions | Regression analysis | Convex analysis
Journal Article
Journal of computational and graphical statistics, ISSN 1537-2715, 09/2015, Volume 24, Issue 3, pp. 627 - 654
We introduce a method for learning pairwise interactions in a linear regression or logistic regression model in a manner that satisfies strong hierarchy:... 
Regression | Logistic | Computer intensive | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Learning | Mathematical models | Regression analysis | Comparative analysis | interaction | logistic | regression | computer intensive | hierarchical
Journal Article
Journal of machine learning research, ISSN 1532-4435, 08/2010, Volume 11, pp. 2287 - 2322
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm... 
Large scale convex optimization | Netflix prize | Nuclear norm | Collaborative filtering | Spectral regularization | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
1992, 1, ISBN 041283040X, 624
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models,... 
Statistical Computing
eBook
Biostatistics (Oxford, England), ISSN 1468-4357, 12/2007, Volume 9, Issue 3, pp. 432 - 441
Journal Article
The Annals of statistics, ISSN 0090-5364, 10/2007, Volume 35, Issue 5, pp. 2173 - 2192
Journal Article
The annals of applied statistics, ISSN 1932-6157, 12/2013, Volume 7, Issue 4, pp. 1917 - 1939
Journal Article
Book
Journal of the American Statistical Association, ISSN 1537-274X, 09/2011, Volume 106, Issue 495, pp. 1125 - 1138
Journal Article