Books on the topic 'Semi- and unsupervised learning'

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1

Albalate, Amparo, and Wolfgang Minker. Semi-Supervised and Unsupervised Machine Learning. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557693.

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2

Kyan, Matthew, Paisarn Muneesawang, Kambiz Jarrah, and Ling Guan. Unsupervised Learning. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118875568.

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3

Celebi, M. Emre, and Kemal Aydin, eds. Unsupervised Learning Algorithms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24211-8.

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4

Li, Xiangtao, and Ka-Chun Wong, eds. Natural Computing for Unsupervised Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98566-4.

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5

Baruque, Bruno. Fusion methods for unsupervised learning ensembles. Berlin: Springer, 2010.

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6

Bartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.

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7

Leordeanu, Marius. Unsupervised Learning in Space and Time. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42128-1.

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8

Baruque, Bruno, and Emilio Corchado. Fusion Methods for Unsupervised Learning Ensembles. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16205-3.

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9

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.

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10

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.

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11

Semi-supervised learning. Cambridge, Mass: MIT Press, 2010.

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12

Berry, Michael W., Azlinah Mohamed, and Bee Wah Yap, eds. Supervised and Unsupervised Learning for Data Science. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-22475-2.

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13

Cuzzolin, Fabio, Kevin Cannons, and Vincenzo Lomonaco, eds. Continual Semi-Supervised Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17587-9.

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14

Zhu, Xiaojin, and Andrew B. Goldberg. Introduction to Semi-Supervised Learning. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01548-9.

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15

Subramanya, Amarnag, and Partha Pratim Talukdar. Graph-Based Semi-Supervised Learning. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01571-7.

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16

Aldrich, Chris. Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods. London: Springer London, 2013.

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17

Aldrich, Chris, and Lidia Auret. Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5185-2.

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18

Huang, Te-Ming, Vojislav Kecman, and Ivica Kopriva. Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Springer, 2010.

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19

Huang, Te-Ming, Vojislav Kecman, and Ivica Kopriva. Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-Supervised, and Unsupervised Learning. Springer London, Limited, 2006.

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20

Huang, Te-Ming, Vojislav Kecman, and Ivica Kopriva. Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence). Springer, 2006.

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21

Hinton, Geoffrey, and Terrence J. Sejnowski, eds. Unsupervised Learning. The MIT Press, 1999. http://dx.doi.org/10.7551/mitpress/7011.001.0001.

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22

Unsupervised Learning Algorithms. Springer, 2016.

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23

Celebi, M. Emre, and Kemal Aydin. Unsupervised Learning Algorithms. Springer, 2018.

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24

Celebi, M. Emre, and Kemal Aydin. Unsupervised Learning Algorithms. Springer London, Limited, 2016.

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25

Unsupervised Learning with R. Packt Publishing, 2015.

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26

Muneesawang, Paisarn, Ling Guan, Matthew Kyan, and Kambiz Jarrah. Unsupervised Learning: A Dynamic Approach. Wiley & Sons, Incorporated, John, 2014.

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27

Unsupervised Learning of Visuomotor Associations. Berlin, Germany: Logos-Verlag Berlin, 2005.

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28

Muneesawang, Paisarn, Ling Guan, Matthew Kyan, and Kambiz Jarrah. Unsupervised Learning: A Dynamic Approach. Wiley & Sons, Incorporated, John, 2014.

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29

Li, Xiangtao, and Ka-Chun Wong. Natural Computing for Unsupervised Learning. Springer, 2018.

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30

Li, Xiangtao, and Ka-Chun Wong. Natural Computing for Unsupervised Learning. Springer, 2018.

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31

Jo, Taeho. Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning. Springer International Publishing AG, 2022.

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32

Jo, Taeho. Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning. Springer International Publishing AG, 2021.

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33

Lopez, César Perez. Machine Learning with Matlab. Unsupervised Learning Techniques: Classification. Lulu Press, Inc., 2020.

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34

Perez, C. Machine Learning Techniques: UNSUPERVISED LEARNING. EXAMPLES with MATLAB. Independently Published, 2019.

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35

E, Hinton Geoffrey, and Sejnowski Terrence J, eds. Unsupervised learning: Foundations of neural computation. Cambridge, Mass: MIT Press, 1999.

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36

Sejnowski, Terrence J., and Geoffrey Hinton. Unsupervised Learning: Foundations of Neural Computation. MIT Press, 1999.

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37

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Springer, 2001.

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38

Sejnowski, Terrence J., Tomaso A. Poggio, and Geoffrey Hinton. Unsupervised Learning: Foundations of Neural Computation. MIT Press, 2016.

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39

Baruque, Bruno. Fusion Methods for Unsupervised Learning Ensembles. Springer, 2010.

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40

Baruque, Bruno. Fusion Methods for Unsupervised Learning Ensembles. Springer, 2014.

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41

Colins, Michael. Machine Learning: An Introduction To Supervised & Unsupervised Learning Algorithms. Createspace Independent Publishing Platform, 2017.

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42

Chapelle, Olivier, Bernhard Scholkopf, and Alexander Zien, eds. Semi-Supervised Learning. The MIT Press, 2006. http://dx.doi.org/10.7551/mitpress/9780262033589.001.0001.

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43

Yang, Yun. Temporal Data Mining Via Unsupervised Ensemble Learning. Elsevier, 2016.

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44

Perez, C. Segmentation with Matlab. Unsupervised Machine Learning Techniques. Independently Published, 2019.

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45

Temporal Data Mining Via Unsupervised Ensemble Learning. Elsevier, 2017. http://dx.doi.org/10.1016/c2016-0-01428-6.

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46

Berry, Michael W., Bee Wah Yap, and Azlinah Mohamed. Supervised and Unsupervised Learning for Data Science. Springer International Publishing AG, 2020.

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47

Temporal Data Mining Via Unsupervised Ensemble Learning. Elsevier Science & Technology Books, 2016.

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48

Berry, Michael W., Bee Wah Yap, and Azlinah Mohamed. Supervised and Unsupervised Learning for Data Science. Springer, 2019.

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49

Unsupervised and Transfer Learning: Challenges in Machine Learning, Volume 7. Microtome Publishing, 2013.

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50

(Editor), Geoffrey Hinton, and Terrence J. Sejnowski (Editor), eds. Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience). The MIT Press, 1999.

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