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There are 265478 results for: content related to: Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Adaptive concept drift detection

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 2, Issue 5-6, December 2009, Pages: 311–327, Anton Dries and Ulrich Rückert

    Article first published online : 18 NOV 2009, DOI: 10.1002/sam.10054

  11. Simultaneous Unsupervised Learning of Disparate Clusterings

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 1, Issue 3, 25 November 2008, Pages: 195–210, Prateek Jain, Raghu Meka and Inderjit S. Dhillon

    Article first published online : 3 NOV 2008, DOI: 10.1002/sam.10007

  12. Sparse inverse kernel Gaussian Process regression

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 3, June 2013, Pages: 205–220, Kamalika Das and Ashok N. Srivastava

    Article first published online : 10 MAY 2013, DOI: 10.1002/sam.11189

  13. Symbolic missing data imputation in principal component analysis

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 2, April 2011, Pages: 171–183, Paola Zuccolotto

    Article first published online : 4 JAN 2011, DOI: 10.1002/sam.10101

  14. Content-boosted matrix factorization techniques for recommender systems

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 4, August 2013, Pages: 286–301, Jennifer Nguyen and Mu Zhu

    Article first published online : 2 APR 2013, DOI: 10.1002/sam.11184

  15. Principal component analysis for bar charts and metabins tables

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 6, Issue 5, October 2013, Pages: 403–430, Edwin Diday

    Article first published online : 20 MAY 2013, DOI: 10.1002/sam.11188

  16. A parametric mixture model for clustering multivariate binary data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 3, Issue 1, February 2010, Pages: 3–19, Ajit C. Tamhane, Dingxi Qiu and Bruce E Ankenman

    Article first published online : 30 DEC 2009, DOI: 10.1002/sam.10063

  17. A note on sliced inverse regression with missing predictors

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 2, April 2012, Pages: 128–138, Yuexiao Dong and Liping Zhu

    Article first published online : 18 OCT 2011, DOI: 10.1002/sam.10132

  18. Random survival forests for high-dimensional data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 1, February 2011, Pages: 115–132, Hemant Ishwaran, Udaya B. Kogalur, Xi Chen and Andy J. Minn

    Article first published online : 11 JAN 2011, DOI: 10.1002/sam.10103

  19. Smoothing methods for histogram-valued time series: an application to value-at-risk

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 2, April 2011, Pages: 216–228, Javier Arroyo, Gloria González-Rivera, Carlos Maté and Antonio Muñoz San Roque

    Article first published online : 8 MAR 2011, DOI: 10.1002/sam.10114

  20. 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