找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Feature Selection for High-Dimensional Data; Verónica Bolón-Canedo,Noelia Sánchez-Maro?o,Amparo Book 2015 Springer International Publishin

[復(fù)制鏈接]
查看: 27536|回復(fù): 38
樓主
發(fā)表于 2025-3-21 18:51:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Feature Selection for High-Dimensional Data
編輯Verónica Bolón-Canedo,Noelia Sánchez-Maro?o,Amparo
視頻videohttp://file.papertrans.cn/342/341566/341566.mp4
概述Explains how to choose an optimal subset of features according to a certain criterion.Coherent, comprehensive approach to feature subset selection in the scope of classification problems.Authors expla
叢書(shū)名稱Artificial Intelligence: Foundations, Theory, and Algorithms
圖書(shū)封面Titlebook: Feature Selection for High-Dimensional Data;  Verónica Bolón-Canedo,Noelia Sánchez-Maro?o,Amparo Book 2015 Springer International Publishin
描述.This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data..The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. .They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers..The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining..
出版日期Book 2015
關(guān)鍵詞Big Data; Big Dimensionality; Data Preprocessing; Data Reduction; Dimensionality Reduction; Feature Selec
版次1
doihttps://doi.org/10.1007/978-3-319-21858-8
isbn_softcover978-3-319-36643-2
isbn_ebook978-3-319-21858-8Series ISSN 2365-3051 Series E-ISSN 2365-306X
issn_series 2365-3051
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

書(shū)目名稱Feature Selection for High-Dimensional Data影響因子(影響力)




書(shū)目名稱Feature Selection for High-Dimensional Data影響因子(影響力)學(xué)科排名




書(shū)目名稱Feature Selection for High-Dimensional Data網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Feature Selection for High-Dimensional Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Feature Selection for High-Dimensional Data被引頻次




書(shū)目名稱Feature Selection for High-Dimensional Data被引頻次學(xué)科排名




書(shū)目名稱Feature Selection for High-Dimensional Data年度引用




書(shū)目名稱Feature Selection for High-Dimensional Data年度引用學(xué)科排名




書(shū)目名稱Feature Selection for High-Dimensional Data讀者反饋




書(shū)目名稱Feature Selection for High-Dimensional Data讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:09:09 | 只看該作者
第141566主題貼--第2樓 (沙發(fā))
板凳
發(fā)表于 2025-3-22 01:41:58 | 只看該作者
板凳
地板
發(fā)表于 2025-3-22 05:13:33 | 只看該作者
第4樓
5#
發(fā)表于 2025-3-22 08:55:08 | 只看該作者
5樓
6#
發(fā)表于 2025-3-22 16:01:38 | 只看該作者
6樓
7#
發(fā)表于 2025-3-22 17:35:30 | 只看該作者
7樓
8#
發(fā)表于 2025-3-22 22:44:02 | 只看該作者
8樓
9#
發(fā)表于 2025-3-23 04:51:51 | 只看該作者
9樓
10#
發(fā)表于 2025-3-23 09:09:51 | 只看該作者
10樓
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 19:16
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
法库县| 安阳县| 科尔| 霍山县| 合水县| 五原县| 丹巴县| 方城县| 邳州市| 呼伦贝尔市| 阿拉尔市| 界首市| 孟连| 贵阳市| 社旗县| 贞丰县| 辽阳市| 宣威市| 高邑县| 洛扎县| 东乌| 岳阳市| 太仆寺旗| 崇信县| 岚皋县| 清苑县| 全州县| 东乌珠穆沁旗| 苗栗县| 辉南县| 武山县| 奇台县| 安阳市| 陆河县| 泽库县| 武强县| 大关县| 塘沽区| 铜陵市| 宿松县| 东乌珠穆沁旗|