Training

Location:Training / Machine Learning/Algorithm / Machine learning techniques / Summary of Extraction Models

You can log in to your eeworld account to continue watching：
Summary of Extraction Models
Login

Duration：9 minutes and 12 seconds
Date：2018/04/06

Uploader：老白菜

Introduction

keywords： Machine Learning Lin Xuantian

Linear support vector machine, dual support vector machine, kernel support vector machine, soft support vector machine, kernel logistic regression, support vector regression

You Might Like

Recommended Posts

Suddenly I was caught by a bird.: A few days ago, due to some reasons, I didn't go to work on a weekday, so I went to the school. I went to the toilet. Suddenly I heard a sound. I turned around and saw that it was a magpie. It was sta; ienglgge Talking

[TI's First Low Power Design Competition] Low Power Bluetooth Humidity Measurement: [i=s]This post was last edited by gkcn on 2014-12-24 22:46[/i] I'm sorry to post this so late. I've been busy with many things recently and have no time. This time, I actually planned to make a system; gkcn Microcontroller MCU

LCD screen data 1: I found so many useful things and it also gave me a break!; franclinleoni Embedded System

Why does the switching power supply I designed lower the voltage under load?: I designed an isolated switching power supply using the LT3748+WE transformer solution. The input voltage is DC19-70V, the output voltage is DC24V, the current is 7.5A, the no-load voltage is about 28; dongsy2012 Power technology

A circuit for sampling voltage with common optocoupler isolation: The accuracy of this circuit mainly depends on the consistency of U2A and U2B; 大小家伙好 Power technology

The smart door magnet sent by Ti has arrived. Let me show it to you.: From the pictures, it looks like the workmanship is OK. :victory: If you stick it to the door, if someone opens the door when you are not there, it will send a message to your phone {:1_102:} But I fe; 天天1 Talking

Recommended Content

Hot VideosMore

Hot ArticlesMore

Circuit

可能感兴趣器件

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews

Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函

京公网安备 11010802033920号