代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/299984/7140339

m meanc.m

%MEANC Mean combining classifier % % W = MEANC(V) % W = V*MEANC % % INPUT % V Set of classifiers (optional) % % OUTPUT % W Mean combiner % % DESCRIPTION % If V = [V1,V2,V3, ... ] is a s
·
www.eeworm.com/read/299984/7140541

m klldc.m

%KLLDC Linear classifier built on the KL expansion of the common covariance matrix % % W = KLLDC(A,N) % W = KLLDC(A,ALF) % % INPUT % A Dataset % N Number of significant eigenvectors % AL
·
www.eeworm.com/read/299984/7140548

m tree_map.m

%TREE_MAP Map a dataset by binary decision tree % % F = TREE_MAP(A,W) % % INPUT % A Dataset % W Decision tree mapping % % OUTPUT % F Posterior probabilities % % DESCRIPTION % Maps the dataset
·
www.eeworm.com/read/299984/7140691

m testn.m

%TESTN Error estimate of discriminant for normal distribution. % % E = TESTN(W,U,G,N) % % INPUT % W Trained classifier mapping % U C x K dataset with C class means, labels and priors (default
·
www.eeworm.com/read/299984/7140705

m prtestc.m

%PRTESTC Test routine for the PRTOOLS classifier % % This script tests a given, untrained classifier w, defined in the % workspace, e.g. w = my_classifier. The goal is to find out whether % w fulfill
·
www.eeworm.com/read/299984/7140710

m prtools.m

% Pattern Recognition Tools % Version 4.1.1 23-Jul-2007 % %Datasets and Mappings (just most important routines) %--------------------- %dataset Define dataset from datamatrix and labels %datasets
·
www.eeworm.com/read/460435/7250403

m medianc.m

%MEDIANC Median combining classifier % % W = MEDIANC(V) % W = V*MEDIANC % % INPUT % V Set of classifiers % % OUTPUT % W Median combining classifier on V % % DESCRIPTION % If V = [V
·
www.eeworm.com/read/460435/7250474

m knn_map.m

%KNN_MAP Map a dataset on a K-NN classifier % % F = KNN_MAP(A,W) % % INPUT % A Dataset % W K-NN classifier trained by KNNC % % OUTPUT % F Posterior probabilities % % DESCRIPTION % Maps t
·
www.eeworm.com/read/460435/7250484

m classc.m

%CLASSC Convert mapping to classifier % % W = CLASSC(W) % W = W*CLASSC % % INPUT % W Any mapping or dataset % % OUTPUT % W Classifier mapping or normalized dataset: outputs/features sum to 1 %
·
www.eeworm.com/read/460435/7250497

m prodc.m

%PRODC Product combining classifier % % W = PRODC(V) % W = V*PRODC % % INPUT % V Set of classifiers trained on the same classes % % OUTPUT % W Product combiner % % DESCRIPTION % It def
·