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AutoML@PKDD/ECML 2017: Skopje, Macedonia
- Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger H. Hoos:
Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017. CEUR Workshop Proceedings 1998, CEUR-WS.org 2017
Technical Papers
- Martin Wistuba:
Bayesian Optimization Combined with Successive Halving for Neural Network Architecture Optimization. 2-11 - Gust Verbruggen, Luc De Raedt:
Towards Automated Relational Data Wrangling. 12-20 - Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira:
autoBagging: Learning to Rank Bagging Workflows with Metalearning. 21-27 - Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
A Meta-Learning Approach to One-Step Active-Learning. 28-40 - Roxana Istrate, A. Cristiano I. Malossi, Costas Bekas, Dimitrios S. Nikolopoulos:
Incremental Training of Deep Convolutional Neural Networks. 41-48 - Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson:
Layered TPOT: Speeding up Tree-based Pipeline Optimization. 49-68 - Miguel Cachada, Salisu Mamman Abdulrahman, Pavel Brazdil:
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. 69-83 - Silvia Nunes das Dôres, Carlos Soares, Duncan D. A. Ruiz:
Effect of Metalearning on Feature Selection Employment. 84-90 - Jan N. van Rijn, Frank Hutter:
An Empirical Study of Hyperparameter Importance Across Datasets. 91-98
Abstracts
- Sergey Muravyov, Andrey Filchenkov:
Meta-learning System for Automated Clustering. 99-101 - Alexey Zabashta, Andrey Filchenkov:
NDSE: Instance Generation for Classification by Given Meta-Feature Description. 102-104
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