contents.m

来自「matlab最新统计模式识别工具箱」· M 代码 · 共 25 行

% Miscellaneous functions for STPRtoolbox.
%
% adaboost     - AdaBoost algorithm.
% adaclass     - AdaBoost classifier.
% cerror       - Computes classification error.  
% crossval     - Partions data for cross-validation.
% knnclass     - k-Nearest Neighbours classifier.
% knnrule      - Creates K-nearest neighbours classifier.
% roc          - Computes Receiver Operator Characteristic. 
% sectohms     - Converts seconds to HOUR:MIN:SEC format.
% weaklearner  - Produce classifier thresholding single feature.
%

% About: Statistical Pattern Recognition Toolbox
% (C) 1999-2004, Written by Vojtech Franc and Vaclav Hlavac
% <a href="http://www.cvut.cz">Czech Technical University Prague</a>
% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a>
% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>

% Modifications:
% 02-jul-2007, VF
% 25-aug-2004, VF
% 11-jun-2004, VF
% 13-Feb-2003, VF