代码搜索:Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/443320/7634692
sce~ gsm.sce~
// NAME:M.Chiranjeevi Reddy
// COURSE: M.T.ech BRANCH: CSE
// YEAR :I YEAR I SEM SUBJECT:Matchine Learning
// ASSIGNMENT NO: 1
// Draw S and G Rectangles along with Hypothisis
function []=fa
www.eeworm.com/read/440043/7695448
h bridge.h
/* bridge.h - simple learning bridge declarations */
/* Copyright 2000-2005 Wind River Systems, Inc. */
/*
modification history
--------------------
01f,21jul05,svk Increment version number for Ser
www.eeworm.com/read/399996/7817041
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% train_patte
www.eeworm.com/read/397099/8069046
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% train_patte
www.eeworm.com/read/245941/12771157
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% train_patte
www.eeworm.com/read/317012/13512291
m svcm_train.m
function [a, b, g, inds, inde, indw] = svcm_train(x, y, C);
% function [a, b, g, inds, inde, indw] = svcm_train(x, y, C);
% support vector classification machine
% incremental learning,
www.eeworm.com/read/133885/5898923
java naivebayes2.java
/**
* Implements a naive Bayes learning algorithm.
*
*
* @author Waleed Kadous
* @version $Id: NaiveBayes2.java,v 1.1.1.1 2002/06/28 07:36:16 waleed Exp $
*/
package tclass.learnalg;
impo
www.eeworm.com/read/131315/5937591
c apprentice.c
/*
* apprentice - make one pass through /etc/magic, learning its secrets.
*
* Copyright (c) Ian F. Darwin, 1987.
* Written by Ian F. Darwin.
*
* This software is not subject to any license of th
www.eeworm.com/read/106504/6192125
txt 321.txt
#"kudos.htm"
Coolmath.com - Kudos
Learning in Motion issue of the Top
Educational Sites on the World-Wide Web.
This is what The