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Machine Learning

  • Francesco CamastraEmail author
  • Alessandro Vinciarelli
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

What the reader should know after reading in this chapter \(\bullet \) Supervised learning, \(\bullet \) Unsupervised learning, \(\bullet \) Semi-supervised learning, \(\bullet \) Reinforcement learning.

Keywords

Machine Learning Training Sample Reinforcement Learning Supervise Learning Unsupervised Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    J.R. Anderson. Acquisition of proof skills in geometry. In Machine Learning, pages 191–220. Tioga Publishing Company, 1983.Google Scholar
  2. 2.
    R. Bellman. Adaptive Control Processes: A Guided Tour. Princeton University Press, 1961.Google Scholar
  3. 3.
    C.M. Bishop. Pattern Recognition and Machine Learning. Springer Verlag, 2006.Google Scholar
  4. 4.
    J.G. Carbonell. Learning by analogy: Formulating and generalizing plans from past experience. In Machine Learning, pages 137–162. Tioga Publishing Company, 1983.Google Scholar
  5. 5.
    J.G. Carbonell, R.S. Michalski, and T.M. Mitchell. An overview of machine learning. In Machine Learning, pages 3–23. Tioga Publishing Company, 1983.Google Scholar
  6. 6.
    O. Chapelle, B. Scholkopf, and A. Zien. Semi-supervised Learning. MIT Press, 2010.Google Scholar
  7. 7.
    N. Grira, M. Crucianu, and N. Boujemaa. Unsupervised and semi-supervised clustering: a brief survey. In A Review of Machine Learning Techniques for Processing Multimedia Content. Report of the MUSCLE European Network of Excellence (FP6), 2004.Google Scholar
  8. 8.
    N. Haas and G.G. Hendrix. Learning by being told: Acquiring knowledge for information management. In Machine Learning, pages 405–428. Tioga Publishing Company, 1983.Google Scholar
  9. 9.
    R. Herbrich. Learning Kernel Classifiers. MIT Press, 2003.Google Scholar
  10. 10.
    R.S. Michalski, J.G. Carbonell, and T.M. Mitchell. Machine Learning. Tioga Publishing Company, 1983.Google Scholar
  11. 11.
    T. Mitchell. Machine Learning. Mc Graw Hill, 1997.Google Scholar
  12. 12.
    D.J. Mostow. Machine transformation of advice into a heuristic search procedure. In Machine Learning, pages 367–404. Tioga Publishing Company, 1983.Google Scholar
  13. 13.
    M.D. Rychener. The instructable production system: A retrospective analysis. In Machine Learning, pages 429–459. Tioga Publishing Company, 1983.Google Scholar
  14. 14.
    R.S. Sutton and A.G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.Google Scholar
  15. 15.
    X. Zhu. Semi-supervised learning literature survey. Computer Sciences TR 1530, University of Wisconsin, Madison, 2008.Google Scholar

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Department of Science and TechnologyParthenope University of NaplesNaplesItaly
  2. 2.School of Computing Science and the Institute of Neuroscience and PsychologyUniversity of GlasgowGlasgowUK

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