UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Comparison of machine learning and traditional classifiers in glaucoma diagnosis

IEEE transactions on biomedical engineering, 2002-09, Vol.49 (9), p.963-974

2002

Volltextzugriff (PDF)

Comparing Neural Networks and Linear Discriminant Functions for Glaucoma Detection Using Confocal Scanning Laser Ophthalmoscopy of the Optic Disc

Investigative ophthalmology & visual science, 2002-11, Vol.43 (11), p.3444-3454

2002

Volltextzugriff (PDF)

Comparing Machine Learning Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry

Investigative ophthalmology & visual science, 2002-01, Vol.43 (1), p.162-169

2002

Volltextzugriff (PDF)

Speech feature analysis using variational Bayesian PCA

IEEE signal processing letters, 2003-05, Vol.10 (5), p.137-140

2003

Volltextzugriff (PDF)

Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

Investigative ophthalmology & visual science, 2004-09, Vol.45 (9), p.3144-3151

2004

Volltextzugriff (PDF)

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

Journal of machine learning research, 2003-01, Vol.3 (1), p.99-114

2003

Volltextzugriff (PDF)

Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes

Investigative ophthalmology & visual science, 2004-07, Vol.45 (7), p.2255-2262

2004

Volltextzugriff (PDF)

Assessing Visual Field Clustering Schemes Using Machine Learning Classifiers in Standard Perimetry

Investigative ophthalmology & visual science, 2007-12, Vol.48 (12), p.5582-5590

2007

Volltextzugriff (PDF)

Variational Bayesian Learning of ICA with Missing Data

Neural computation, 2003-08, Vol.15 (8), p.1991-2011

2003

Volltextzugriff (PDF)

Using Unsupervised Learning with Independent Component Analysis to Identify Patterns of Glaucomatous Visual Field Defects

Investigative ophthalmology & visual science, 2005-10, Vol.46 (10), p.3676-3683

2005

Volltextzugriff (PDF)

Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects

Investigative ophthalmology & visual science, 2004-08, Vol.45 (8), p.2596-2605

2004

Volltextzugriff (PDF)

Using Machine Learning Classifiers to Identify Glaucomatous Change Earlier in Standard Visual Fields

Investigative ophthalmology & visual science, 2002-08, Vol.43 (8), p.2660-2665

2002

Volltextzugriff (PDF)

Bayesian learning in classification and density estimation

Chan, Kwokleung

2002

Volltextzugriff (PDF)

Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect byes

Investigative ophthalmology & visual science, 2004, Vol.45 (7), p.2255-2262

2004

Volltextzugriff (PDF)

Application of variational Bayesian PCA for speech feature extraction

2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002, Vol.1, p.I-825-I-828

2002

Volltextzugriff (PDF)

1 – 15 von 15

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(13)
Mit Volltextzugriff
(14)

Publikationsform

Sprache

Englisch
(15)

Erscheinungsjahr

n.n

Zeitschrift / Serie

Menü

Weitere Dienste

Einstellungen

Comparison of machine learning and traditional classifiers in glaucoma diagnosis

Comparing Neural Networks and Linear Discriminant Functions for Glaucoma Detection Using Confocal Scanning Laser Ophthalmoscopy of the Optic Disc

Comparing Machine Learning Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry

Speech feature analysis using variational Bayesian PCA

Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes

Assessing Visual Field Clustering Schemes Using Machine Learning Classifiers in Standard Perimetry

Variational Bayesian Learning of ICA with Missing Data

Using Unsupervised Learning with Independent Component Analysis to Identify Patterns of Glaucomatous Visual Field Defects

Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects

Using Machine Learning Classifiers to Identify Glaucomatous Change Earlier in Standard Visual Fields

Bayesian learning in classification and density estimation

Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect byes

Application of variational Bayesian PCA for speech feature extraction

Suchergebnisse filtern