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Semi-supervised learning / edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien by Series:
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Cambridge, Mass. : MIT Press, 2010
Availability: Items available for loan: UMPLIB PEKAN (1)Call number: Q325.75 .S46 2010.

Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto. by Series: Adaptive computation and machine learning series
Edition: 2nd edition.
Material type: Article Article; Format: regular print ; Literary form: Not fiction ; Audience: Specialized;
Publisher: Cambridge, Massachusetts : The MIT Press, 2018Copyright date: ©2018
Availability: Items available for loan: UMPLIB GAMBANG (1)Call number: Q325.6 .S88 2018.

Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe by Series: Adaptive computation and machine learning
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Cambridge, Mass. : MIT Press, c2012
Availability: Items available for loan: UMPLIB PEKAN (1)Call number: Q325.5 .S84 2012.

Introduction to machine learning / Ethem Alpaydın by Series: Adaptive computation and machine learning
Edition: 2nd ed.
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: General;
Publication details: Cambridge, Mass. : MIT Press, 2010
Availability: Items available for loan: UMPLIB GAMBANG (1)Call number: Q325.5 .A47 2010.

Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar by Series: Adaptive computation and machine learning series
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Cambridge, MA : MIT Press, 2012
Availability: Items available for loan: UMPLIB PEKAN (1)Call number: Q325.5 .M64 2012.

Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. by Series: Adaptive computation and machine learning | Adaptive computation and machine learning
Material type: Text Text; Format: regular print ; Literary form: Not fiction ; Audience: Specialized;
Publisher: Cambridge, Massachusetts : The MIT Press, 2016Copyright date: ©2016
Availability: Items available for loan: UMPLIB GAMBANG (1)Call number: Q325.5 .G66 2016.

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