contents.m

来自「支持向量机的MATLAB训练测试源代码,绝对好用.」· M 代码 · 共 33 行

% Generalized Anderson's task.
%
%   andrdemo   - Demonstrates algorithms which find solution of
%                the Generalized Anderson's task (GAT).
%
% Algorithms:
%   oanders    - Original Anderson's solution for two distributions.
%   eanders    - Epsilon-solution of the Generalized Anderson's task.
%   gganders   - Finds optimal solution of GAT using general gradient
%                optimization.
%   ganders    - Finds optimal solution of the GAT, general algorithm.
%   ganders2   - Finds optimal solution of the GAT, upgraded version.
%
% Auxiliary functions:
%   andrerr    - Computes upper limit of probability of bad classification
%                in the GAT.
%   mineps     - Solves one subtask of the GAT which is minimalization of
%                special objective function. Uses discretization in
%                independent variable.
%   minepsvl   - --//-- , uses discretization of function value.
%   minepsrt   - --//-- , uses transformation to problem of finding
%                polynom roots.
%   pandr2d    - Visualizes solution of the GAT in 2D.
%   pandr2df   - Visualizes solution of the GAT in 2D, fulfiles ellipses.
%   testandr   - Randomly create test examples for GAT.
%

% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 02.01.2000
% Modifications
% 24. 6.00 V. Hlavac, comments polished.