Dynamic classifier selection: Recent advances and perspectives
Abstract Multiple Classifier Systems (MCS) have been widely studied as an alternative for
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …
Machine learning with a reject option: A survey
Abstract Machine learning models always make a prediction, even when it is likely to be
inaccurate. This behavior should be avoided in many decision support applications, where …
inaccurate. This behavior should be avoided in many decision support applications, where …
A fault detection and health monitoring scheme for ship propulsion systems using SVM technique
J Zhou, Y Yang, SX Ding, Y Zi, M Wei - Ieee Access, 2018 - ieeexplore.ieee.org
Both the model-based and data-driven techniques for fault detection have their merits and
drawbacks. The fault detection systems are usually laid out separately with the health …
drawbacks. The fault detection systems are usually laid out separately with the health …
Performance visualization spaces for classification with rejection option
B Hanczar - Pattern Recognition, 2019 - Elsevier
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 to improve the accuracy of the …
when the confidence in its prediction is low. The objective is to improve the accuracy of the …
[PDF][PDF] Analyzing scarce sensor data with applications in fleet-based anomaly detection and learning to reject
The Internet of Things and the reduced cost of data acquisition have led to an increasing
amount of products with connectivity capabilities. Such products are both oriented to …
amount of products with connectivity capabilities. Such products are both oriented to …