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MetaSel@ECAI 2014: Prague, Czech Republic
- Joaquin Vanschoren, Pavel Brazdil, Carlos Soares, Lars Kotthoff:
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. CEUR Workshop Proceedings 1201, CEUR-WS.org 2014 - Lars Kotthoff:
Towards an Algorithm Selection Standard: Data Format and Tools. 1 - Frank Hutter:
Bayesian Optimization for More Automatic Machine Learning. 2 - Matthias Feurer, Jost Tobias Springenberg, Frank Hutter:
Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters. 3-10 - Carlos Eduardo Castor de Melo, Ricardo B. C. Prudêncio:
Similarity Measures of Algorithm Performance for Cost-Sensitive Scenarios. 11-17 - Parker Ridd, Christophe G. Giraud-Carrier:
Using Metalearning to Predict When Parameter Optimization Is Likely to Improve Classification Accuracy. 18-23 - Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown:
Surrogate Benchmarks for Hyperparameter Optimization. 24-31 - Fábio Pinto, Carlos Soares, João Mendes-Moreira:
A Framework To Decompose And Develop Metafeatures. 32-36 - Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren:
Towards Meta-learning over Data Streams. 37-38 - Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez:
Recommending Learning Algorithms and Their Associated Hyperparameters. 39-40 - Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez:
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. 41-48 - Salisu Mamman Abdulrahman, Pavel Brazdil:
Measures for Combining Accuracy and Time for Meta-learning. 49-50 - Otakar Trunda, Roman Barták:
Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning. 51-52 - Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda:
Hybrid Multi-Agent System for Metalearning in Data Mining. 53-54 - David Kofoed Wind, Ole Winther:
Model Selection in Data Analysis Competitions. 55-60
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