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Chapelle, Olivier [Editor]; Schölkopf, Bernhard [Editor]; Zien, Alexander [Editor]

Semi-supervised learning

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Cambridge, Mass.; London: MIT Press, 2006

Published in: Adaptive computation and machine learning
Schapire, Robert E. [Author]; Freund, Yoav [Author]

Boosting : foundations and algorithms

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Cambridge, Mass. [u.a.]: MIT Press, 2012

Published in: Adaptive Computation and Machine Learning Series
Hastie, Trevor [Author]; Tibshirani, Robert [Author]; Friedman, Jerome H. [Author]

The elements of statistical learning : data mining, inference, and prediction - [Second edition, corrected at 12th printing 2017]

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New York, NY: Springer, [2017]

Published in: Springer series in statistics
Hastie, Trevor [Author]; Tibshirani, Robert [Author]; Friedman, Jerome H. [Author]

The elements of statistical learning : data mining, inference, and prediction

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New York; Berlin; Heidelberg [u.a.]: Springer, 2001

Published in: Springer series in statistics
Hutter, Marcus [Author]

Universal artificial intelligence : sequential decisions based on algorithmic probability

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Berlin; Heidelberg [u.a.]: Springer, 2005

Published in: Texts in theoretical computer science
Busche, André [Author]

Techniques for real world Ground Penetrating Radar Data Analysis - [1. Auflage]

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Göttingen: Cuvillier Verlag, 2014
Czogała, Ernest [Author]; Łe̜ski, Jacek [Author]

Fuzzy and neuro-fuzzy intelligent systems : with 16 tables

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Heidelberg; New York: Physica-Verl., 2000

Published in: Studies in fuzziness and soft computing ; 4700
Gagalowicz, André [Editor]; Philips, Wilfried [Other] ; International Conference Mirage 5 2011 Rocquencourt

Computer vision/computer graphics collaboration techniques : 5th international conference, MIRAGE 2011, Rocquencourt, France, October 10-11, 2011 ; proceedings

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Berlin; Heidelberg [u.a.]: Springer, 2011

Published in: Lecture notes in computer science ; 6930
Schuld, Maria [Author]; Petruccione, Francesco [Author]

Supervised learning with quantum computers

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Cham: Springer, [2018]

Published in: Quantum science and technology
Okun, Oleg [Editor]; Valentini, Giorgio [Editor]

Supervised and unsupervised ensemble methods and their applications

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Berlin; Heidelberg: Springer, 2008

Published in: Studies in computational intelligence ; 126
Perner, Juliane [Author]

Semi-supervised learning for predicting Anti-HIV drug resistance

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Fockendorf: ibai Publishing, 2011
Ma, Sheng [Author]; Ji, Chuanyi [Author]

Performance and efficiency : recent advances in supervised learning

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Almaden; Zurich [u.a.]: IBM, 1999

Published in: Thomas J. Watson Research Center: Research report / RC ; 21528
Boţ, Radu Ioan [Author]; Heinrich, André [Author]; Wanka, Gert [Author]

Employing different loss functions for the classification of images via supervised learning

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Chemnitz: Techn. Univ., Fak. für Mathematik, 2011

Published in: Technische Universität Chemnitz: Preprint ; 2011,15
Scholz, Martin [Author]

On the Complexity of Rule Discovery from Distributed Data

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http://hdl.handle.net/2003/21647

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Eldorado - Repositorium der TU Dortmund, 2005-10-12
Zhou, Zhi-Hua [Author] ; Schwenker, Friedhelm [Editor]

Partially Supervised Learning : Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

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Berlin, Heidelberg: Springer, 2013

Published in: Lecture notes in computer science ; 8183
Schwenker, Friedhelm [Author] ; Trentin, Edmondo [Other]

Partially Supervised Learning : First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers

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Berlin, Heidelberg: Springer Berlin Heidelberg, 2012

Published in: Lecture notes in computer science ; 7081
Verdhan, Vaibhav [Author] ; Kling, Eli Yechezkiel [Writer of preface]

Supervised learning with Python : concepts and practical implementation using Python

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Berkeley, CA: Apress, [2020]

Published in: Springer eBook Collection
Grzeszick, René [Author] ; Fink, Gernot A. [Contributor]; Frintrop, Simone [Contributor]

Partially supervised learning of models for visual scene and object recognition

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Links

http://hdl.handle.net/2003/37117

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Eldorado - Repositorium der TU Dortmund, 2018-01-01
Darnstädt, Malte [Author]; Simon, Hans Ulrich [Author]; Szörenyi, Balázs [Author]

Supervised learning and co-training

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2014-01-01

Published in: Theoretical computer science
Darnstädt, Malte [Author]; Simon, Hans Ulrich [Author]; Szörényi, Balázs [Author] ; Malte Darnstädt and Hans Ulrich Simon and Balázs Szörényi [Contributor]

Unlabeled Data Does Provably Help

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2013

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