Optimizing area under the ROC curve using semi-supervised learning
- Autor
- SHIJUN WANG1 ; DIANA LI1 ; PETRICK, Nicholas2 ; SAHINER, Berkman2 ; LINGURARU, Marius George3 4 ; SUMMERS, Ronald M1
[1] Imaging Biomarkers and Computer-Aided Diagnosis Lab, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892-1182, United States
[2] Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993, United States
[3] Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC 20010, United States
[4] School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, United States - Fuente
Pattern recognition. 2015, Vol 48, Num 1, pp 276-287, 12 p ; ref : 54 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Campo Científico
- Computer science; Telecommunications
- Editor
- Elsevier, Kidlington
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- AUC RankBoost Receiver operating characteristic SSLROC SVMROC Semi-supervised learning Semidefinite programming Transfer learning
- Palabra clave (fr)
- Algorithme Apprentissage supervisé Classification automatique Classification signal Espace n dimensions Etat actuel Evaluation performance Intelligence artificielle Métrique Optimisation Système binaire Test rang
- Palabra clave (in)
- Algorithm Supervised learning Automatic classification Signal classification Multidimensional space State of the art Performance evaluation Artificial intelligence Metric Optimization Binary system Rank test
- Palabra clave (es)
- Algoritmo Aprendizaje supervisado Clasificación automática Espacio n dimensiones Estado actual Evaluación prestación Inteligencia artificial Métrico Optimización Sistema binario Test rango
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Disciplina
- Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28858359
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.patcog.2014.07.025 
https://dx.doi.org/10.1016/j.patcog.2014.07.025
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