4.6 Article

Random-projection ensemble classification

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Statistics & Probability

Bayesian Nonparametric Calibration and Combination of Predictive Distributions

Federico Bassetti et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)

Article Engineering, Environmental

Multivariate functional random fields: prediction and optimal sampling

M. Bohorquez et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)

Article Statistics & Probability

Building exact confidence nets

Andrew R. Francis et al.

BERNOULLI (2017)

Article Statistics & Probability

INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS

Yingying Fan et al.

ANNALS OF STATISTICS (2016)

Article Biology

Quantile-based classifiers

C. Hennig et al.

BIOMETRIKA (2016)

Article Physics, Multidisciplinary

The Information Geometry of Sparse Goodness-of-Fit Testing

Paul Marriott et al.

ENTROPY (2016)

Article Environmental Sciences

Optimal dynamic spatial sampling

Martha Bohorquez et al.

ENVIRONMETRICS (2016)

Article Computer Science, Theory & Methods

On convergence of topological aggregation functions

M. Stehlik

FUZZY SETS AND SYSTEMS (2016)

Article Statistics & Probability

Stabilized Nearest Neighbor Classifier and its Statistical Properties

Will Wei Sun et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2016)

Review Statistics & Probability

Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings

Werner Ehm et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2016)

Article Statistics & Probability

Discriminant analysis on high dimensional Gaussian copula model

Yong He et al.

STATISTICS & PROBABILITY LETTERS (2016)

Article Mathematical & Computational Biology

Semi-varying coefficient multinomial logistic regression for disease progression risk prediction

Yuan Ke et al.

STATISTICS IN MEDICINE (2016)

Article Mathematics, Interdisciplinary Applications

Sparse p-Adic Data Coding for Computationally Efficient and Effective Big Data Analytics

F. Murtagh

P-ADIC NUMBERS ULTRAMETRIC ANALYSIS AND APPLICATIONS (2016)

Article Statistics & Probability

INNOVATED INTERACTION SCREENING FOR HIGH-DIMENSIONAL NONLINEAR CLASSIFICATION

Yingying Fan et al.

ANNALS OF STATISTICS (2015)

Article Statistics & Probability

Bayesian Compressed Regression

Rajarshi Guhaniyogi et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2015)

Article Biology

Dimension reduction based on the Hellinger integral

Qin Wang et al.

BIOMETRIKA (2015)

Article Computer Science, Artificial Intelligence

Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions

Robert J. Durrant et al.

MACHINE LEARNING (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Random Projection Towards the Baire Metric for High Dimensional Clustering

Fionn Murtagh et al.

STATISTICAL LEARNING AND DATA SCIENCES (2015)

Article Statistics & Probability

SEMIPARAMETRIC GAUSSIAN COPULA MODELS: GEOMETRY AND EFFICIENT RANK-BASED ESTIMATION

Johan Segers et al.

ANNALS OF STATISTICS (2014)

Article Statistics & Probability

VARIABLE SELECTION FOR GENERAL INDEX MODELS VIA SLICED INVERSE REGRESSION

Bo Jiang et al.

ANNALS OF STATISTICS (2014)

Article Automation & Control Systems

On robust testing for normality in chemometrics

M. Stehlik et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2014)

Article Computer Science, Interdisciplinary Applications

On selecting interacting features from high-dimensional data

Peter Hall et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)

Article Computer Science, Interdisciplinary Applications

A high-dimensional two-sample test for the mean using random subspaces

Mans Thulin

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)

Article Statistics & Probability

A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION

Kuang-Yao Lee et al.

ANNALS OF STATISTICS (2013)

Article Statistics & Probability

Stability

Bin Yu

BERNOULLI (2013)

Article Mathematics, Interdisciplinary Applications

Detecting Clusters in the Data from Variance Decompositions of Its Projections

Yannis G. Yatracos

JOURNAL OF CLASSIFICATION (2013)

Article Statistics & Probability

Classification via Bayesian Nonparametric Learning of Affine Subspaces

Garritt Page et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2013)

Article Statistics & Probability

Variable selection with error control: another look at stability selection

Rajen D. Shah et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2013)

Article Statistics & Probability

OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS

Richard J. Samworth

ANNALS OF STATISTICS (2012)

Article Statistics & Probability

A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant

Jianqing Fan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2012)

Article Statistics & Probability

A road to classification in high dimensional space: the regularized optimal affine discriminant

Jianqing Fan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2012)

Article Computer Science, Information Systems

A Random Matrix-Theoretic Approach to Handling Singular Covariance Estimates

Thomas L. Marzetta et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2011)

Article Statistics & Probability

Penalized classification using Fisher's linear discriminant

Daniela M. Witten et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)

Article Environmental Sciences

Features detection in spatial point processes via multivariate techniques

J. Mateu et al.

ENVIRONMETRICS (2010)

Article Statistics & Probability

Combining probability forecasts

Roopesh Ranjan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)

Article Statistics & Probability

Stability selection

Nicolai Meinshausen et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)

Article Economics

Pair-copula constructions of multiple dependence

Kjersti Aas et al.

INSURANCE MATHEMATICS & ECONOMICS (2009)

Article Statistics & Probability

Median-Based Classifiers for High-Dimensional Data

Peter Hall et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)

Article Statistics & Probability

HIGH-DIMENSIONAL CLASSIFICATION USING FEATURES ANNEALED INDEPENDENCE RULES

Jianqing Fan et al.

ANNALS OF STATISTICS (2008)

Article Statistics & Probability

CHOICE OF NEIGHBOR ORDER IN NEAREST-NEIGHBOR CLASSIFICATION

Peter Hall et al.

ANNALS OF STATISTICS (2008)

Article Mathematics, Interdisciplinary Applications

Mining supervised classification performance studies: A meta-analytic investigation

Adrien Jamain et al.

JOURNAL OF CLASSIFICATION (2008)

Article Statistics & Probability

Sure independence screening for ultrahigh dimensional feature space

Jianqing Fan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Article Mathematical & Computational Biology

Penalized logistic regression for detecting gene interactions

Mee Young Park et al.

BIOSTATISTICS (2008)

Article Statistics & Probability

Detecting features in spatial point processes with clutter via local indicators of spatial association

J. Mateu et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2007)

Review Statistics & Probability

Strictly proper scoring rules, prediction, and estimation

Tilmann Gneiting et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)

Article Statistics & Probability

Classification with reject option

Radu Herbei et al.

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE (2006)

Article Computer Science, Artificial Intelligence

Rotation forest:: A new classifier ensemble method

Juan J. Rodriguez et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)

Article Computer Science, Artificial Intelligence

Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

DC Tao et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)

Article Statistics & Probability

Classifier technology and the illusion of progress

David J. Hand

STATISTICAL SCIENCE (2006)

Article Statistics & Probability

A new approach to cluster analysis: the clustering-function-based method

Baibing Li

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Statistics & Probability

Bandwidth choice for nonparametric classification

P Hall et al.

ANNALS OF STATISTICS (2005)

Article Statistics & Probability

Properties of bagged nearest neighbour classifiers

P Hall et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)

Article Computer Science, Hardware & Architecture

Database-friendly random projections: Johnson-Lindenstrauss with binary coins

D Achlioptas

JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2003)

Article Computer Science, Artificial Intelligence

Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy

LI Kuncheva et al.

MACHINE LEARNING (2003)

Article Statistics & Probability

Class prediction by nearest shrunken centroids, with applications to DNA microarrays

R Tibshirani et al.

STATISTICAL SCIENCE (2003)

Article Computer Science, Software Engineering

An elementary proof of a theorem of Johnson and Lindenstrauss

S Dasgupta et al.

RANDOM STRUCTURES & ALGORITHMS (2003)

Article Statistics & Probability

Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling

Y Yatracos

STATISTICS & PROBABILITY LETTERS (2002)

Article Statistics & Probability

The meta-elliptical distributions with given marginals

HB Fang et al.

JOURNAL OF MULTIVARIATE ANALYSIS (2002)

Article Computer Science, Artificial Intelligence

Bagging, boosting and the random subspace method for linear classifiers

M Skurichina et al.

PATTERN ANALYSIS AND APPLICATIONS (2002)

Review Statistics & Probability

Model-based clustering, discriminant analysis, and density estimation

C Fraley et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)

Article Multidisciplinary Sciences

Diagnosis of multiple cancer types by shrunken centroids of gene expression

R Tibshirani et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Computer Science, Interdisciplinary Applications

A projection pursuit approach to variable selection

A Montanari et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2001)