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COPA 2016: Madrid, Spain
- Alexander Gammerman

, Zhiyuan Luo, Jesús Vega, Vladimir Vovk
:
Conformal and Probabilistic Prediction with Applications - 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings. Lecture Notes in Computer Science 9653, Springer 2016, ISBN 978-3-319-33394-6
Invited Paper
- Vladimir Vapnik, Rauf Izmailov

:
Learning with Intelligent Teacher. 3-19
Theory of Conformal Prediction
- Vladimir Vovk

, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman
:
Criteria of Efficiency for Conformal Prediction. 23-39 - Vladimir Vovk

, Dusko Pavlovic
:
Universal Probability-Free Conformal Prediction. 40-47
Applications of Conformal Prediction
- Paolo Toccaceli

, Ilia Nouretdinov, Alexander Gammerman
:
Conformal Predictors for Compound Activity Prediction. 51-66 - Raúl Moreno, Jesús Vega, Sebastián Dormido

:
Conformal Prediction of Disruptions from Scratch: Application to an ITER Scenario. 67-74 - Henrik Boström, Henrik Linusson, Tuve Löfström

, Ulf Johansson:
Evaluation of a Variance-Based Nonconformity Measure for Regression Forests. 75-89 - Antonis Lambrou, Harris Papadopoulos

:
Binary Relevance Multi-label Conformal Predictor. 90-104 - Andrea Murari

, Saeed Talebzadeh, Jesús Vega, Emmanuele Peluso
, Michela Gelfusa
, Michele Lungaroni
, Pasqualino Gaudio
:
A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars. 105-115 - Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers

, Ralf Peeters
:
Decision Trees for Instance Transfer. 116-127 - Giovanni Cherubin, Ilia Nouretdinov:

Hidden Markov Models with Confidence. 128-144
Machine Learning
- Alexey Zaytsev

:
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification. 147-164 - Evgeny Burnaev

, Ivan Panin
, Bruno Sudret
:
Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. 165-184 - Shima Ghassem Pour, Federico Girosi

:
Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines. 185-195 - A. V. Moldavskaya, V. M. Ruvinskaya, E. L. Berkovich:

Method of Learning Malware Behavior Scripts by Sequential Pattern Mining. 196-207 - Alexander P. Kuleshov, Alexander V. Bernstein:

Extended Regression on Manifolds Estimation. 208-228

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