Biomedical Engineering Reference
In-Depth Information
[67] N. Oza, ''Online bagging and boosting,''
2005 IEEE International Conference on Sys-
tems, Man and Cybernetics
, vol. 3, pp. 2340--2345, 2005.
[68]
J. K. Bradley and R. E. Schapire, ''Filterboost: Regression and classification on large
datasets,'' in
Advances in Neural Information Processing Systems
, vol. 20, Cambridge,
MA: MIT Press, 2007.
[69]
V. N. Vapnik,
Statistical Learning Theory
, Wiley, 1998.
[70]
E. M. Airoldi, ''Getting started in probabilistic graphical models,''
PLoS Computational
Biology
, vol. 3, p. e252, Dec. 2007.
[71]
R. S. Sutton and A. G. Barto,
Reinforcement Learning: An Introduction
. MIT Press,
1998.
Search WWH ::
Custom Search