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A new semi-supervised support vector machine learning algorithm based on active learning

2010 2nd International Conference on Future Computer and Communication(2010)10.1109/icfcc.2010.5497471Source: DataRank Database

A new semi-supervised support vector machine learning algorithm based on active learning is a research paper published in 2010 2nd International Conference on Future Computer and Communication (2010). On theSindex it has a DataRank of 1.9. It has been cited 19 times, with 19 citing works in its 1-hop citation network.

N/A

1.9DataRank · unranked

Scored on demand from live citation data

19 citations · 19 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.61)OA: closedTopics (22)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 23%Citation Network 77%

Base Score Contribution

0.449

From this paper's citation signal

Citation Network Contribution

1.5

From 17 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 19 citers.

Analysis and Implementation Machine Learning for YouTube Data Classification by Comparing the Performance of Classification Algorithms
Jurnal Online Informatika202018 citations6 referencesContributes 0.491
Network Intrusion Detection Using Machine Learning for Virtualized Data
Algorithms for intelligent systems20226 citations6 referencesContributes 0.324
Combining active learning and semi-supervised learning to construct SVM classifier
Knowledge-Based Systems2013106 citations31 referencesContributes 0.151
Fast Automatic Vehicle Detection in UAV Images Using Convolutional Neural Networks
Remote Sensing202042 citations26 referencesContributes 0.145
Machine Learning for E-triage
International Journal of Multidisciplinary Studies and Innovative Technologies20224 citations15 referencesContributes 0.107

Authors (2)

Wu Chenggang,Li Cunhe

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W1986633584

FWCI

0.61

Citation Percentile

0.6%

Citation Trend

2013

2015

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2018

2019

2020

2021

2022

2023

2024

closed

publisherhttp://xplorestaging.ieee.org/ielx5/5487607/5497281/05497471.pdf?arnumber=5497471

https://doi.org/10.1109/icfcc.2010.5497471

Fields of Study

Advanced Algorithms and ApplicationsAdvanced Computational Techniques and ApplicationsAdvanced Sensor and Control Systems

Keywords

Semi-supervised learningActive learning (machine learning)Online machine learningMachine learningComputer scienceSupport vector machineArtificial intelligenceRelevance vector machineStructured support vector machineComputational learning theoryAlgorithmWake-sleep algorithmInstance-based learningUnsupervised learningExtension (predicate logic)Supervised learningCo-trainingGeneralization errorArtificial neural network

A new semi-supervised support vector machine learning algorithm based on active learning

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (2)

Impact

Open Access

Topics