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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 10: Hidden Markov Models with Confidence
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