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The Canadian Journal of Statistics / La Revue Canadienne de Statistique, ISSN 0319-5724, 12/2006, Volume 34, Issue 4, pp. 709 - 721
Journal Article
Applied Soft Computing, ISSN 1568-4946, 12/2016, Volume 49, pp. 1085 - 1093
Software defect prediction (SDP) is an important task in software engineering. Along with estimating the number of defects remaining in software systems and... 
Software defect prediction | Classification with reject option | Extreme learning machines | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | METRICS | EXTREME LEARNING-MACHINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2010, Volume 11, pp. 111 - 130
In this paper, we investigate the problem of binary classification with a reject option in which one can withhold the decision of classifying an observation at... 
Convex surrogate loss | Empirical risk minimization | Generalized margin condition | Reject option | Classification | convex surrogate loss | DISCRIMINATION | classification | empirical risk minimization | generalized margin condition | reject option | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE LATIN AMERICA TRANSACTIONS, ISSN 1548-0992, 01/2018, Volume 16, Issue 1, pp. 279 - 286
On-line learning is a training paradigm that allows the processing of constant data flows, so that learning adapts to new knowledge. However, due to the nature... 
Preprocessing | Classification | COMPUTER SCIENCE, INFORMATION SYSTEMS | Data Mining | On-line Learning | Clustering | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Latin America Transactions, ISSN 1548-0992, 01/2018, Volume 16, Issue 1, pp. 279 - 286
On-line learning is a training paradigm that allows the processing of constant data flows, so that learning adapts to new knowledge. However, due to the nature... 
Training | Adaptation models | Preprocessing | Classification | Media | Data Mining | Silicon | Online Learning | Complexity theory | Noise measurement | Clustering | IEEE transactions
Journal Article
Expert Systems with Applications, ISSN 0957-4174, 04/2017, Volume 72, p. 1
Mobile robot localization, which allows a robot to identify its position, is one of main challenges in the field of Robotics. In this work, we provide an... 
Studies | Datasets | Maps | Consolidation | Virtual environments | Machine learning | Feature extraction | Localization | Artificial intelligence | Robotics | Image classification
Journal Article
2013 IEEE 10th International Symposium on Biomedical Imaging, ISSN 1945-7928, 04/2013, pp. 1340 - 1343
We propose a new algorithm for classification that merges classification with reject option with classification using contextual information. A reject option... 
Training | Accuracy | image classification | Feature extraction | Vectors | Labeling | reject option | discriminative random fields | Logistics | Biomedical imaging
Conference Proceeding
AI Communications, ISSN 0921-7126, 2013, Volume 26, Issue 3, pp. 281 - 302
Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there... 
support vector machines | classification | Reject option | supervised learning | neural networks | PERFORMANCE | RELIABILITY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
AI Communications, ISSN 0921-7126, 01/2013, Volume 26, Issue 3, pp. 281 - 302
Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there... 
Support vector machines | Tasks | Neural networks | Classification | Machine learning | Labels | Artificial intelligence | Standards
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8681, pp. 105 - 112
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10424, pp. 3 - 15
Conference Proceeding
The Canadian Journal of Statistics, ISSN 0319-5724, 12/2006, Volume 34, Issue 4, p. 709
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2019, Volume 96, p. 106984
The classification with reject option consists to train a classifier that rejects the examples when the confidence in its prediction is low. The objective is... 
Classification with reject option | Classifier performances | RULE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Machine Learning | Computer Science
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8724, Issue 1, pp. 547 - 562
Conference Proceeding
Pattern Recognition, ISSN 0031-3203, 08/2013, Volume 46, Issue 8, pp. 2256 - 2266
We consider multi-label classification problems in application scenarios where classifier accuracy is not satisfactory, but manual annotation is too costly. In... 
Multi-label classification | Reject option | Manual annotation | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Classifiers | Accuracy | Tasks | Annotations | Tradeoffs | Classification | Decisions | Mathematical models
Journal Article
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 10/2016, pp. 397 - 402
Reject option is a widely used technique to improve the reliability of classification algorithms. It consists on withholding the classification of an instance... 
Training | Classification with Reject Option | Design methodology | Binary Classification | Supervised learning | Estimation | Reliability | Optimization | Standards | Minimal Learning Machine
Conference Proceeding
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