A comparison of two machine-learning techniques to focus the diagnosis task

被引：0

作者：

Prieto, Oscar ^{[1
]}

Bregon, Anibal ^{[1
]}

机构：

[1] Univ Valladolid, Dept Comp Sci, Intelligent Syst Grp GSI, ETSI Informat, Campus Miguel Delibes S-N, E-47011 Valladolid, Spain

来源：

STAIRS 2006 | 2006年 / 142卷

关键词：

Machine-learning; Boosting; Dynamic Time Warping;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work considers a time series classification task: fault identification in dynamic systems. Two methods are compared: i) Boosting and ii) K-Nearest Neighbors with Dynamic Time Warping distance.

引用

页码：265 / +

页数：2

共 50 条

[31] Comparing Machine Learning Techniques for Dementia Diagnosis
Lins, A. J. C. C.
Muniz, M. T. C.
Bastos-Filho, C. J. A.
2018 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), 2018,
[32] Current trends in machine-learning methods applied to spectroscopic cancer diagnosis
Sattlecker, Martina
Stone, Nicholas
Bessant, Conrad
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2014, 59 : 17 - 25
[33] Pilot study of a machine-learning tool to assist in the diagnosis of hand arthritis
Reed, Mark
Le Souef, Timothy
Rampono, Elliot
INTERNAL MEDICINE JOURNAL, 2022, 52 (06) : 959 - 967
[34] Online Machine Learning Techniques for Coq: A Comparison
Zhang, Liao
Blaauwbroek, Lasse
Piotrowski, Bartosz
Cerny, Prokop
Kaliszyk, Cezary
Urban, Josef
INTELLIGENT COMPUTER MATHEMATICS (CICM 2021), 2021, 12833 : 67 - 83
[35] Comparison of machine learning techniques for target detection
Jelte Peter Vink
Gerard de Haan
Artificial Intelligence Review, 2015, 43 : 125 - 139
[36] Comparison of machine learning techniques for target detection
Vink, Jelte Peter
de Haan, Gerard
ARTIFICIAL INTELLIGENCE REVIEW, 2015, 43 (01) : 125 - 139
[37] Comparison of machine learning techniques for spam detection
Argha Ghosh
A. Senthilrajan
Multimedia Tools and Applications, 2023, 82 : 29227 - 29254
[38] Comparison of machine learning techniques for spam detection
Ghosh, Argha
Senthilrajan, A.
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (19) : 29227 - 29254
[39] Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction
Senent-Aparicio, Javier
Jimeno-Saez, Patricia
Bueno-Crespo, Andres
Perez-Sanchez, Julio
Pulido-Velazquez, David
BIOSYSTEMS ENGINEERING, 2019, 177 : 67 - 77
[40] Machine-learning micropattern manufacturing
Wang, Si
Shen, Ziao
Shen, Zhenyu
Dong, Yuanjun
Li, Yanran
Cao, Yuxin
Zhang, Yanmei
Guo, Shengshi
Shuai, Jianwei
Yang, Yun
Lin, Changjian
Chen, Xun
Zhang, Xingcai
Huang, Qiaoling
NANO TODAY, 2021, 38

← 1 2 3 4 5 →