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Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)10.1109/tpami.2021.3075915Source: DataRank Database

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry is a research paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

Cite:

Linked data & code

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)Impact (FWCI 0.27)OA: greenTopics (33)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (3)

Murat Akçakaya ORCID,Deniz Erdoğmuş ORCID,Aziz Koçanaoğulları ORCID

Live enrichment

PubMed:33909559 OpenAlex:https://openalex.org/W3045883734

Division of Computer and Network Systems

Grant: 1544895

CPS: TTP Option: Synergy: Collaborative Research: Nested Control of Assistive Robots through Human Intent Inference

Division of Information and Intelligent Systems

Grant: 1149570

CAREER: Signal Models, Channel Capacity, and Information Rate for Noninvasive Brain Interfaces

Division of Information and Intelligent Systems

Grant: 1715858

CHS: Small: Collaborative Research: EEG-Guided Electrical Stimulation for Immersive Virtual Reality

Division of Information and Intelligent Systems

Grant: 1717654

CHS: Small: Collaborative Research: EEG-Guided Electrical Stimulation for Immersive Virtual Reality

Division of Information and Intelligent Systems

Grant: 1844885

CAREER: Towards a Biologically Informed Intervention for Emotionally Dysregulated Adolescents and Adults with Autism Spectrum Disorder

Division of Information and Intelligent Systems

Grant: 1915083

SCH: INT: Collaborative Research: Detection, Assessment and Rehabilitation of Stroke-Induced Visual Neglect Using Augmented Reality (AR) and Electroencephalography (EEG)

National Institutes of Health

Grant: R01DC009834

DHHS Office of the Secretary

Grant: 90RE5017-02-01

National Institutes of Health

Grant: 3R01DC009834-10S1

Ethical Considerations for Language Modeling within Brain-Computer Interfaces

National Institutes of Health

Grant: 5R01DC009834-14

Optimizing BCI-FIT: Brain Computer Interface - Functional Implementation Toolkit

FWCI

0.27

Citation Percentile

0.6%

Citation Trend

2021

2023

2025

greenLicense: IEEE Copyright

repositoryhttps://arxiv.org/pdf/2007.15568

repositoryhttps://arxiv.org/pdf/2007.15568

publisherhttp://xplorestaging.ieee.org/ielx7/34/4359286/09417010.pdf?arnumber=9417010

repositoryhttp://arxiv.org/abs/2007.15568

journalhttps://doi.org/10.1109/tpami.2021.3075915

Fields of Study

Machine Learning and AlgorithmsNeural dynamics and brain functionNeural Networks and Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyAlgorithmsBayes TheoremBrain

MeSH Terms

AlgorithmsBayes TheoremBrain

Keywords

Posterior probabilityComputer scienceBayesian probabilityArtificial intelligenceAlgorithmState (computer science)Decision theoryData miningMachine learningMathematicsStatisticsSignal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningFOS: Electrical engineering, electronic engineering, information engineeringBrainBayes TheoremMachine Learning (stat.ML)Electrical Engineering and Systems Science - Signal ProcessingAlgorithmsMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry

10.48550/arxiv.2007.15568arXiv