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There are 54062 results for: content related to: Using spatiotemporal relational random forests to improve our understanding of severe weather processes

  1. On the limits of clustering in high dimensions via cost functions

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 1, February 2011, Pages: 30–53, Hoyt A. Koepke and Bertrand S. Clarke

    Article first published online : 16 NOV 2010, DOI: 10.1002/sam.10095

  2. Dual-tree fast exact max-kernel search

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 7, Issue 4, August 2014, Pages: 229–253, Ryan R. Curtin and Parikshit Ram

    Article first published online : 13 MAY 2014, DOI: 10.1002/sam.11218

  3. Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 2, April 2012, Pages: 139–166, Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis and David J. Hand

    Article first published online : 24 JAN 2012, DOI: 10.1002/sam.10151

  4. A Bayesian criterion for cluster stability

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 4, August 2013, Pages: 346–374, Hoyt Koepke and Bertrand Clarke

    Article first published online : 6 FEB 2013, DOI: 10.1002/sam.11176

  5. Least Angle Regression and LASSO for Large Datasets

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 1, Issue 4, March 2009, Pages: 251–259, Chris Fraley and Tim Hesterberg

    Article first published online : 21 JAN 2009, DOI: 10.1002/sam.10021

  6. Relative clustering validity criteria: A comparative overview

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 3, Issue 4, August 2010, Pages: 209–235, Lucas Vendramin, Ricardo J. G. B. Campello and Eduardo R. Hruschka

    Article first published online : 30 JUN 2010, DOI: 10.1002/sam.10080

  7. A family of large margin linear classifiers and its application in dynamic environments

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 2, Issue 5-6, December 2009, Pages: 328–345, Jianqiang Shen and Thomas G. Dietterich

    Article first published online : 17 NOV 2009, DOI: 10.1002/sam.10055

  8. Clustering large data sets described with discrete distributions and its application on TIMSS data set

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 2, April 2011, Pages: 199–215, Simona Korenjak-Černe, Vladimir Batagelj and Barbara Japelj Pavešić

    Article first published online : 13 JAN 2011, DOI: 10.1002/sam.10105

  9. A permutation approach to validation

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 3, Issue 6, December 2010, Pages: 361–380, Malik Magdon-Ismail and Konstantin Mertsalov

    Article first published online : 16 NOV 2010, DOI: 10.1002/sam.10096

  10. How to deal with malicious users in privacy-preserving distributed data mining

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 2, Issue 1, July 2009, Pages: 18–33, Yitao Duan and John Canny

    Article first published online : 10 JUN 2009, DOI: 10.1002/sam.10029

  11. Learning with many experts: Model selection and sparsity

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 6, December 2013, Pages: 565–577, Rafael Izbicki and Rafael Bassi Stern

    Article first published online : 28 OCT 2013, DOI: 10.1002/sam.11206

  12. Modeling the dynamics of social networks using Bayesian hierarchical blockmodels

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 3, June 2012, Pages: 218–234, Abel Rodríguez

    Article first published online : 21 DEC 2011, DOI: 10.1002/sam.10150

  13. Unsupervised classification and analysis of objects described by nonparametric probability distributions

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 5, October 2012, Pages: 388–398, Richard Emilion

    Article first published online : 12 SEP 2012, DOI: 10.1002/sam.11160

  14. Principal component analysis for interval-valued observations

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 2, April 2011, Pages: 229–246, A. Douzal-Chouakria, L. Billard and E. Diday

    Article first published online : 8 MAR 2011, DOI: 10.1002/sam.10118

  15. Tests for mean vectors in high dimension

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 6, December 2013, Pages: 578–598, Edgard M. Maboudou-Tchao and Ivair Silva

    Article first published online : 3 DEC 2013, DOI: 10.1002/sam.11209

  16. Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 1, February 2012, Pages: 54–69, Fei Wang, Jimeng Sun and Shahram Ebadollahi

    Article first published online : 17 FEB 2012, DOI: 10.1002/sam.11135

  17. Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 1, Issue 1, February 2008, Pages: 38–51, Dongmin Kim, Suvrit Sra and Inderjit S. Dhillon

    Article first published online : 28 DEC 2007, DOI: 10.1002/sam.104

  18. Eigen-analysis of nonlinear PCA with polynomial kernels

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 6, December 2013, Pages: 529–544, Zhiyu Liang and Yoonkyung Lee

    Article first published online : 11 DEC 2013, DOI: 10.1002/sam.11211

  19. Latent variable mining with its applications to anomalous behavior detection

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 2, Issue 1, July 2009, Pages: 70–86, Shunsuke Hirose and Kenji Yamanishi

    Article first published online : 26 MAY 2009, DOI: 10.1002/sam.10032

  20. Predicting simulation parameters of biological systems using a Gaussian process model

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 6, December 2012, Pages: 509–522, Xiangxin Zhu, Max Welling, Fang Jin and John Lowengrub

    Article first published online : 30 NOV 2012, DOI: 10.1002/sam.11163