Bibliography for CS4200: On Line Machine Learning BETA

Barber, D. (2012a). Bayesian Reasoning and Machine Learning. Cambridge University Press.

Barber, D. (2012b). Bayesian Reasoning and Machine Learning. Cambridge University Press. https://www.safaribooksonline.com/library/view/-/9781139636063/?ar

Bishop, C. M. (2006). Pattern Recognition and Machine Learning: Vol. Information science and statistics. Springer.

Cesa-Bianchi, N., & Lugosi, G. (2006a). Prediction, Learning, and Games. Cambridge University Press.

Cesa-Bianchi, N., & Lugosi, G. (2006b). Prediction, Learning, and Games. Cambridge University Press. https://royalholloway.idm.oclc.org/login?url=http://www.vlebooks.com/vleweb/product/openreader?id=Holloway&isbn=9780511316029&uid=^u

Durbin, J., & Koopman, S. J. (2012). Time Series Analysis by State Space Methods (2nd Edition, Vol. 38). Oxford University Press. https://doi-org.ezproxy01.rhul.ac.uk/10.1093/acprof:oso/9780199641178.001.0001

Mitchell, T. M. (n.d.). Machine Learning. McGraw-Hill Education.

Mitchell, T. M. (1997). Machine Learning. McGraw-Hill Education - Europe.

Shumway, R. H., & Stoffer, D. S. (2011). Time Series Analysis and Its Applications: With R Examples: Vol. Springer Texts in Statistics (4th Edition). Springer. http://www.stat.pitt.edu/stoffer/tsa4/

Shumway, R. H., & Stoffer, D. S. (2017). Time Series Analysis and Its Applications: With R Examples (4th Edition). Springer.

Sutton, R. S., & Barto, A. G. (1998a). Reinforcement Learning. MIT Press.

Sutton, R. S., & Barto, A. G. (1998b). Reinforcement learning: an introduction. MIT Press.

Sutton, R. S., Barto, A. G., & Bach, F. (2018). Reinforcement Learning (2nd Edition). MIT Press Ltd.