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ORCIDCOPA 2019: Golden Sands, Bulgaria
- Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov:
Conformal and Probabilistic Prediction and Applications, COPA 2019, 9-11 September 2019, Golden Sands, Bulgaria. Proceedings of Machine Learning Research 105, PMLR 2019 - Preface. 1-2
- Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd:
Interpretable and specialized conformal predictors. 3-22 - Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers:
Ensembles based on conformal instance transfer. 23-42 - Niharika Gauraha, Fabian Söderdahl, Ola Spjuth:
Split knowledge transfer in learning under privileged information framework. 43-52 - Ola Spjuth, Robin Carrión Brännström, Lars Carlsson, Niharika Gauraha:
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets. 53-65 - Paolo Toccaceli:
Conformal predictor combination using Neyman-Pearson Lemma. 66-88 - Yuri Gurevich, Vladimir Vovk:
Test statistics and p-values. 89-104 - Vladimir Vovk:
Universally Consistent Conformal Predictive Distributions. 105-122 - Henrik Boström, Ulf Johansson, Anders Vesterberg:
Predicting with Confidence from Survival Data. 123-141 - Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo:
Coreset-based Conformal Prediction for Large-scale Learning. 142-162 - Vladimir V. V'yugin, Vladimir G. Trunov:
Online Learning with Continuous Ranked Probability Score. 163-177 - Raisa Dzhamtyrova, Yuri Kalnishkan:
Competitive Online Regression under Continuous Ranked Probability Score. 178-195 - Raphaël Morsomme, Evgueni N. Smirnov:
Conformal Prediction for Students' Grades in a Course Recommender System. 196-213 - Charalambos Eliades, Harris Papadopoulos:
Applying Conformal Prediction to Control an Exoskeleton. 214-227 - Andreas Paisios, Ladislav Lenc, Jirí Martínek, Pavel Král, Harris Papadopoulos:
A Deep Neural Network Conformal Predictor for Multi-label Text Classification. 228-245 - Abstracts of invited talks and posters. 246-247
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