TY  - BOOK
AU  - Marsland,Stephen
TI  - Machine learning: an algorithmic perspective
SN  - 978 1 4200 6718 7
PY  - 2009///
CY  - Boca Raton
PB  - [S.n.]
KW  - ALGORITMOS
N1  - CONTIENE: 1-- Introdution. 2-- Linear discriminants. 3-- The multi-layer percection. 4-- Radical basis function   splines. 5-- Support vector machines. 6-- Learning with trees. 7-- Decision by committee: ensemble learning. 8-- Probability   learning. 9-- Unsupervised Learning. 10-- Dimensionality reduction. 11-- Otimisation   search. 12-- Evolutionary Learning. 13-- Reinforcement learning. 14-- Markov Chain monte Carlo (MCMC) Methods. 15-- Graphical models. 16-- Python
ER  -