C.M. Bishop, Pattern Recognition and Machine Learning, Springer,
S. Theodoridis, K. Koutroumbas, Pattern Recognition, Fourth Edition, Elsevier Inc,
Christian P. Robert, George Casella, Introducing Monte Carlo Methods with R, Springer,
John Shawe-Taylor, Nello Cristianini, Kernel Methods for Pattern Analysis, Cambridge University Press,
B. Scholkopf, A. Smola, Learning with Kernels, Support Vector Machines, Regularization, Optimization and Beyond, MIT Press,
Shigeo Abe, Support Vector Machines for Pattern Classification, Springer,
F. Camastra, A. Vinciarelli, Machine Learning for Audio, Image and Video Analysis, Theory and Applications, Springer,
Olivier Cappé, Eric Moulines, Tobias Rydén, Inference in Hidden Markov Models, Springer,
Lawrence R. Rabiner, A tutorial on Hidden Markov Models and selected applications in speech recognition, Proceedings of the IEEE 77 (2): 257–286.,
Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, Cambridge University Press,
Sheldon M. Ross, Introduction to Probability Models, Ninth Edition, Elsevier,
|
