Classifier calibration: a survey on how to assess and improve predicted class probabilities
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Classifier calibration: a survey on how to assess and improve predicted class probabilities ; volume:112 ; number:9 ; day:16 ; month:5 ; year:2023 ; pages:3211-3260 ; date:9.2023
Machine learning ; 112, Heft 9 (16.5.2023), 3211-3260, 9.2023
- Classification
-
Informatik
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-023-06336-7
- URN
-
urn:nbn:de:101:1-2023110209424466665322
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
24.03.2002, 9:57 AM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Silva Filho, Telmo
- Song, Hao
- Perello-Nieto, Miquel
- Santos-Rodriguez, Raul
- Kull, Meelis
- Flach, Peter
- SpringerLink (Online service)
Other Objects (12)
Asymptotic Properties of Predicted Probabilities in Discrete Regression
Multivariate calibration of classifier scores into the probability space
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures
FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology
Infinitesimal Probabilities
Calibration and validation of predicted genomic breeding values in an advanced cycle maize population
Hybrid classifier : methods of data, knowledge, and classifier combination
Estimating Subjective Probabilities
Measures and probabilities
Antizipative classifier systems
Text-based recession probabilities
Blues for default probabilities
Asymptotic Properties of Predicted Probabilities in Discrete Regression
Multivariate calibration of classifier scores into the probability space
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures
FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology
Infinitesimal Probabilities
Calibration and validation of predicted genomic breeding values in an advanced cycle maize population
Hybrid classifier : methods of data, knowledge, and classifier combination
Estimating Subjective Probabilities
Measures and probabilities
Antizipative classifier systems
Text-based recession probabilities
Blues for default probabilities
Asymptotic Properties of Predicted Probabilities in Discrete Regression
Multivariate calibration of classifier scores into the probability space
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures
FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology
Infinitesimal Probabilities
Calibration and validation of predicted genomic breeding values in an advanced cycle maize population
Hybrid classifier : methods of data, knowledge, and classifier combination
Estimating Subjective Probabilities
Measures and probabilities
Antizipative classifier systems
Text-based recession probabilities