Searching for "Estimation of Classifier Performance." – sorted by Relevance.
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Automated assessment of atrial fibrillation
- discriminant classifier processing the feature sets. The cross-validation scheme was used to estimate
- Cited by 1 (1 self) – Add To MetaCart
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Statistical Significance of A_z Scores: Classification of masses in screening mammograms as benign or malignant based on high dimensional texture feature space
- of classifier performance, the statistical significance of these scores were estimated by computing
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Gene Expression Profile Classification: A Review
- or estimating classifier performance. We discussed and summarized important properties such as generalizability
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Performance Measures for NN-Classifiers
- for estimation of the classifier performance, that do not use the real rules. 2 Bayesian Classifier Consider
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Comparison of Different Neuro-Fuzzy Classification Systems for the Detection of Prostate Cancer in Ultrasonic Images
- -one-out method for the prostate data in order to obtain an estimate for the classifier performance. Therefore
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Classification Of The Electrocardiogram
- coefficients were selected as inputs and cross-validation used to estimate the classifier performance
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Construction And Evaluation Of A Robust Multifeature Speech/music Discriminator
- estimate theoretical bounds on the performance of some classifiers. The estimated class assignment
- Cited by 191 (3 self) – Add To MetaCart
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Automated Measurement of Retinal Vascular Tortuosity
- . The performance on the samples used to train a classifier is typically an optimistic estimate of the classifier
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Estimating dataset size requirements for classifying DNA Microarray data
- to be able to estimate the performance of a classifier for yet unseen larger dataset sizes. In this situation
- Cited by 8 (3 self) – Add To MetaCart
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unknown title
- . In addition, we used cross validation to evaluate the performance of each classifier and to estimate
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