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|a Philipp, Michel.
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|a Contributions to Machine Learning and Psychometrics :
|b Computational, Graphical, and Statistical Methods for Assessing Stability.
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|a Göttingen :
|b Cuvillier Verlag,
|c 2017.
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|a 1 online resource (155 pages)
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|a Acknowledgments; Abstract; Zusammenfassung; Contents; Scope of this work; Chapter 1 Atoolkit for stability assessment oftree-based learners; Chapter 2 Measuring the stability of resultsfrom supervised statistical learning; Chapter 3 On the estimation of standarderrors in cognitive diagnosis models; Chapter 4 Detecting DIF in cognitivediagnosis models; Conclusion and outlook; Appendix ASupplementary material: Chapter 2 ; Appendix BSupplementary material: Chapter 3; Appendix CR codes; Appendix D Publications.
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|a Includes bibliographical references.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Machine learning.
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|a Apprentissage automatique.
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|i Print version:
|a Philipp, Michel.
|t Contributions to Machine Learning and Psychometrics : Computational, Graphical, and Statistical Methods for Assessing Stability.
|d Göttingen : Cuvillier Verlag, ©2017
|z 9783736994478
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