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找到约 5,352 项符合「Learning」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/367675/2833514

txt 4.txt

发信人: GzLi (笑梨), 信区: DataMining 标 题: Machine Learning 47(2/3) 发信站: 南京大学小百合站 (Thu Jul 18 00:45:30 2002), 站内信件 篇名： PAC Analogues of Perceptron and Winnow Via Boosting the Margin 刊名： Machine Le
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www.eeworm.com/read/367675/2833961

txt 17.txt

发信人: GzLi (笑梨), 信区: DataMining 标 题: two ML software zz 发信站: 南京大学小百合站 (Wed Jun 4 08:40:55 2003) Two learning systems written back when I was at AT&T Labs are now available for research purposes
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www.eeworm.com/read/367675/2836744

txt 376.txt

发信人: GzLi (笑梨), 信区: DataMining 标 题: Machine Learning 47(2/3) 发信站: 南京大学小百合站 (Thu Jul 18 00:45:30 2002), 站内信件 篇名： PAC Analogues of Perceptron and Winnow Via Boosting the Margin 刊名： Machine Le
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www.eeworm.com/read/367675/2837805

txt 916.txt

发信人: cczhu (congcongzhu), 信区: DataMining 标 题: Re: Tom Mitchell的《Machine Learning》上传完毕 发信站: 南京大学小百合站 (Wed Nov 20 13:38:32 2002) I cannot connect to the ftp server neither! :( 【 在 minerboy 的大作
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www.eeworm.com/read/367675/2839345

txt 304.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: 什么是meta-learning?应如何翻译? 发信站: 南京大学小百合站 (Tue Apr 9 10:46:10 2002), 站内信件 An excellent study on the origins of words (prefixes in this example), :p Fro
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txt 311.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: 什么是meta-learning?应如何翻译? 发信站: 南京大学小百合站 (Wed Apr 10 12:20:52 2002), 站内信件 Thanks for the essay. Together with daniel's authoratative explanation, the met
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www.eeworm.com/read/353275/10457530

uv2 test10.uv2

### uVision2 Project, (C) Keil Software ### Do not modify ! Target (Target 1), 0x0000 // Tools: 'MCS-51' Group (Source Group 1) File 1,2,
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www.eeworm.com/read/417673/10980740

m percepdm.m

% Demo of perceptron learning % Roger Jang, Oct-8-96 data_n = 20; in_data = rand(data_n, 2)*2-1; index1 = find(in_data(:,1)+in_data(:,2)>0); index2 = (1:data_n)'; index2(index1) = []; data
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www.eeworm.com/read/467198/7019991

m percepdm.m

% Demo of perceptron learning % Roger Jang, Oct-8-96 data_n = 20; in_data = rand(data_n, 2)*2-1; index1 = find(in_data(:,1)+in_data(:,2)>0); index2 = (1:data_n)'; index2(index1) = []; data
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www.eeworm.com/read/460712/7105557

m chap5_4main.m

%Adaptive switching Learning Control for 2DOF robot manipulators clear all; close all; t=[0:0.001:5]'; T1(1:5001)=0; T1=T1'; T2=T1; T=[T1 T2]; k(1:5001)=0; k=k'; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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