Decision 源代码

function [p]=ss(snr_in_dB,Lc,A,w0) %[p]=ss(snr_in_dB,Lc,A,w0) % ss finds the measured error rate,the function % that returns th…

function D = Perceptron_BVI(train_features, train_targets, params, region) % Classify using the batch variable increment Percep…

function D = Perceptron_Batch(train_features, train_targets, params, region) % Classify using the batch Perceptron algorithm %…

function D = Perceptron_VIM(train_features, train_targets, params, region) % Classify using the variable incerement Perceptron …

Contents.m PSVM Plots decision boundary of binary SVM classifier.

% Visualization for pattern recognition. % % pandr - Visualizes solution of the Generalized Anderson's task. % pboundary …

function varargout=psvm(model,options) % PSVM Plots decision boundary of binary SVM classifier. % % Synopsis: % h = psvm(...) % …

function varargout=pboundary(model,options) % PBOUNDARY Plots decision boundary of given classifier in 2D. % % Synopsis: % h = pb…

function [FP,FN]=roc(dfce,y) % ROC Computes Receive Operator Characteristic. % % Synopsis: % [FP,FN]=roc(dfce,y) % % Descriptio…

% Example 5-3: Decision algorithm: Which one of two % non-square input signal matrices (X1 or X2) has been % transmitted over 2-…