Title Contributions to Machine Learning and Psychometrics : Computational, Graphical, and Statistical Methods for Assessing Stability.

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Description	1 online resource (155 pages)
	text file
Contents	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.
Bibliography	Includes bibliographical references.
Local Note	eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject	Machine learning.
	Machine learning.
Other Form:	Print version: Philipp, Michel. Contributions to Machine Learning and Psychometrics : Computational, Graphical, and Statistical Methods for Assessing Stability. Göttingen : Cuvillier Verlag, ©2017 9783736994478
ISBN	3736984472
	9783736984479 (electronic book)
	9783736994478