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ORCIDMetaSel@PKDD/ECML 2015: Porto, Portugal
- Joaquin Vanschoren, Pavel Brazdil, Christophe G. Giraud-Carrier, Lars Kotthoff:
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), Porto, Portugal, September 7th, 2015. CEUR Workshop Proceedings 1455, CEUR-WS.org 2015
Session 1: Invited Talks
- Bernd Bischl:
Applying Model-Based Optimization to Hyperparameter Optimization in Machine Learning. 1 - Bernhard Pfahringer:
On a Few Recent Developments in Meta-Learning for Algorithm Ranking and Selection. 2
Session 2: Full Papers
- Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier:
The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization. 3-14 - Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme:
Learning Data Set Similarities for Hyperparameter Optimization Initializations. 15-26 - Toon van Craenendonck, Hendrik Blockeel:
Limitations of Using Constraint Set Utility in Semi-Supervised Clustering. 27-42 - Antoine Adam, Hendrik Blockeel:
Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection. 43-54 - Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren:
Algorithm Selection via Meta-learning and Sample-based Active Testing. 55-66 - Catarina Félix, Carlos Soares, Alípio Jorge:
Metalearning for Multiple-Domain Transfer Learning. 67-79 - Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. 80-92 - Jan N. van Rijn, Joaquin Vanschoren:
Sharing RapidMiner Workflows and Experiments with OpenML. 93-103
Session 3: Extended Abstracts
- Iván Olier, Crina Grosan, Noureddin Sadawi, Larisa N. Soldatova, Ross D. King:
Meta-QSAR: Learning How to Learn QSARs. 104-105 - Patryk Kiepas, Szymon Bobek, Grzegorz J. Nalepa:
Concept of a Rule-based Configurator for Auto-WEKA Using OpenML. 106-107 - Tomás Kren, Martin Pilát, Klára Pesková, Roman Neruda:
Generating Workflow Graphs Using Typed Genetic Programming. 108-109 - Dirk Schäfer, Eyke Hüllermeier:
Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. 110-111 - Milan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic:
Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics. 112-114 - Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. 115-116
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