Read Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications

Vineeth Balasubramanian

4.9/5 (13924 ratings)

Description:The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. "Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications" captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learningBe able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clusteringLearn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detectionWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications. To get started finding Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 473

Format: PDF, EPUB & Kindle Edition

Publisher: N/A

Release: 2014

ISBN: 0124017150

Description: The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. "Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications" captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learningBe able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clusteringLearn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detectionWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications. To get started finding Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications

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