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Conformal and Probabilistic Prediction with Applications

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Cover of 'Conformal and Probabilistic Prediction with Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Learning with Intelligent Teacher
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    Chapter 2 Criteria of Efficiency for Conformal Prediction
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    Chapter 3 Universal Probability-Free Conformal Prediction
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    Chapter 4 Conformal Predictors for Compound Activity Prediction
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    Chapter 5 Conformal Prediction of Disruptions from Scratch: Application to an ITER Scenario
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    Chapter 6 Evaluation of a Variance-Based Nonconformity Measure for Regression Forests
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    Chapter 7 Binary Relevance Multi-label Conformal Predictor
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    Chapter 8 A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars
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    Chapter 9 Decision Trees for Instance Transfer
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    Chapter 10 Hidden Markov Models with Confidence
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    Chapter 11 Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification
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    Chapter 12 Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions
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    Chapter 13 Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines
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    Chapter 14 Method of Learning Malware Behavior Scripts by Sequential Pattern Mining
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    Chapter 15 Extended Regression on Manifolds Estimation
Attention for Chapter 11: Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification
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Citations

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Chapter title
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification
Chapter number 11
Book title
Conformal and Probabilistic Prediction with Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-33395-3_11
Book ISBNs
978-3-31-933394-6, 978-3-31-933395-3
Authors

A. Zaytsev

Editors

Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Materials Science 1 33%
Unknown 1 33%

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