A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor-Reference-Cited by-同舟云学术

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A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor

Published:2019-11 Issue: Volume:184 Page:104895
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Junnan,Zhu Qingsheng,Wu Quanwang

Funder

National Natural Science Foundation of China

Chongqing science and technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference45 articles.

1. A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction;Asencio-Cortés;Knowl.-Based Syst.,2016

2. Robust semi-supervised extreme learning machine;Pei;Knowl.-Based Syst.,2018

3. Self-training for multi-target regression with tree ensembles;Levatić;Knowl.-Based Syst.,2017

4. Incremental semi-supervised clustering ensemble for high dimensional data clustering;Yu;IEEE Trans. Knowl. Data Eng.,2016

5. Seg-ssc: a framework based on synthetic examples generation for self-labeled semi-supervised classification;Triguero;IEEE Trans. Cybern.,2015

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