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There are 4892 results for: content related to: Applying additive modelling and gradient boosting to assess the effects of watershed and reach characteristics on riverine assemblages

  1. Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 61, Issue 3, May 2012, Pages: 403–427, Andreas Mayr, Nora Fenske, Benjamin Hofner, Thomas Kneib and Matthias Schmid

    Article first published online : 30 JAN 2012, DOI: 10.1111/j.1467-9876.2011.01033.x

  2. Conditional transformation models

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 76, Issue 1, January 2014, Pages: 3–27, Torsten Hothorn, Thomas Kneib and Peter Bühlmann

    Article first published online : 20 MAR 2013, DOI: 10.1111/rssb.12017

  3. Variable Selection and Model Choice in Geoadditive Regression Models

    Biometrics

    Volume 65, Issue 2, June 2009, Pages: 626–634, Thomas Kneib, Torsten Hothorn and Gerhard Tutz

    Article first published online : 27 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01112.x

  4. Detection of differential item functioning in Rasch models by boosting techniques

    British Journal of Mathematical and Statistical Psychology

    Volume 69, Issue 1, February 2016, Pages: 80–103, Gunther Schauberger and Gerhard Tutz

    Article first published online : 17 JUL 2015, DOI: 10.1111/bmsp.12060

  5. An ensemble learning approach jointly modeling main and interaction effects in genetic association studies

    Genetic Epidemiology

    Volume 32, Issue 4, May 2008, Pages: 285–300, Zhaogong Zhang, Shuanglin Zhang, Man-Yu Wong, Nicholas J. Wareham and Qiuying Sha

    Article first published online : 18 JAN 2008, DOI: 10.1002/gepi.20304

  6. LOCAL MODELS—THE KEY TO BOOSTING STABLE LEARNERS SUCCESSFULLY

    Computational Intelligence

    Volume 29, Issue 2, May 2013, Pages: 331–356, Kai Ming Ting, Lian Zhu and Jonathan R. Wells

    Article first published online : 12 JUN 2012, DOI: 10.1111/j.1467-8640.2012.00441.x

  7. Boosting

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 2, Issue 1, January/February 2010, Pages: 69–74, Peter Bühlmann and Bin Yu

    Article first published online : 31 DEC 2009, DOI: 10.1002/wics.55

  8. Decomposing environmental, spatial, and spatiotemporal components of species distributions

    Ecological Monographs

    Volume 81, Issue 2, May 2011, Pages: 329–347, Torsten Hothorn, Jörg Müller, Boris Schröder, Thomas Kneib and Roland Brandl

    Article first published online : 1 MAY 2011, DOI: 10.1890/10-0602.1

  9. An improved ensemble learning machine for biological activity prediction of tyrosine kinase inhibitors

    Journal of Chemometrics

    Volume 29, Issue 4, April 2015, Pages: 213–223, Hossein Tavakoli and Jahan B. Ghasemi

    Article first published online : 23 MAR 2015, DOI: 10.1002/cem.2698

  10. The importance of spinner dolphin (Stenella longirostris) resting habitat: implications for management

    Journal of Applied Ecology

    Volume 52, Issue 3, June 2015, Pages: 621–630, Julian A. Tyne, David W. Johnston, Robert Rankin, Neil R. Loneragan and Lars Bejder

    Article first published online : 27 APR 2015, DOI: 10.1111/1365-2664.12434

  11. The role of margins in boosting and ensemble performance

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 6, Issue 2, March/April 2014, Pages: 124–131, Waldyn Martinez and J. Brian Gray

    Article first published online : 12 FEB 2014, DOI: 10.1002/wics.1292

  12. Generating ensembles of heterogeneous classifiers using Stacked Generalization

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 5, Issue 1, January/February 2015, Pages: 21–34, M. Paz Sesmero, Agapito I. Ledezma and Araceli Sanchis

    Article first published online : 28 JAN 2015, DOI: 10.1002/widm.1143

  13. Multi-objective ensemble generation

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 5, Issue 5, September/October 2015, Pages: 234–245, Shenkai Gu, Ran Cheng and Yaochu Jin

    Article first published online : 7 JUL 2015, DOI: 10.1002/widm.1158

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    Importance Measures for Epistatic Interactions in Case-Parent Trios

    Annals of Human Genetics

    Volume 75, Issue 1, January 2011, Pages: 122–132, Holger Schwender, Katherine Bowers, M. Daniele Fallin and Ingo Ruczinski

    Article first published online : 30 NOV 2010, DOI: 10.1111/j.1469-1809.2010.00623.x

  15. Hedonic price models and indices based on boosting applied to the Dutch housing market

    Intelligent Systems in Accounting, Finance and Management

    Volume 15, Issue 3-4, July - December 2007, Pages: 85–106, Martijn Kagie and Michiel Van Wezel

    Article first published online : 18 JUN 2008, DOI: 10.1002/isaf.287

  16. Roughly balanced bagging for imbalanced data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 2, Issue 5-6, December 2009, Pages: 412–426, Shohei Hido, Hisashi Kashima and Yutaka Takahashi

    Article first published online : 19 NOV 2009, DOI: 10.1002/sam.10061

  17. Model building in nonproportional hazard regression

    Statistics in Medicine

    Volume 32, Issue 30, 30 December 2013, Pages: 5301–5314, Mar Rodríguez-Girondo, Thomas Kneib, Carmen Cadarso-Suárez and Emad Abu-Assi

    Article first published online : 6 SEP 2013, DOI: 10.1002/sim.5961

  18. DESIGNING AN IF–THEN RULES-BASED ENSEMBLE OF HETEROGENEOUS BANKRUPTCY CLASSIFIERS: A GENETIC ALGORITHM APPROACH

    Intelligent Systems in Accounting, Finance and Management

    Volume 21, Issue 3, July/September 2014, Pages: 129–153, Sergio Davalos, Fei Leng, Ehsan H. Feroz and Zhiyan Cao

    Article first published online : 12 JUN 2014, DOI: 10.1002/isaf.1354

  19. Boosting diffusion indices

    Journal of Applied Econometrics

    Volume 24, Issue 4, June/July 2009, Pages: 607–629, Jushan Bai and Serena Ng

    Article first published online : 16 MAR 2009, DOI: 10.1002/jae.1063

  20. Pruned Bagging Aggregated Hybrid Prediction Models for Forecasting the Steel Temperature in Ladle Furnace

    steel research international

    Volume 85, Issue 3, March 2014, Pages: 405–414, Wu Lv, Zhizhong Mao, Ping Yuan and Mingxing Jia

    Article first published online : 27 NOV 2013, DOI: 10.1002/srin.201200302