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 - researchr publication

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Joaquin Vanschoren, Pavel Brazdil, Christophe G. Giraud-Carrier, Lars Kotthoff, editors, 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. Volume 1455 of CEUR Workshop Proceedings, CEUR-WS.org, 2015. [doi]

Conference: pkdd2015

Abstract is missing.

Applying Model-Based Optimization to Hyperparameter Optimization in Machine LearningBernd Bischl. 1 [doi]

On a Few Recent Developments in Meta-Learning for Algorithm Ranking and SelectionBernhard Pfahringer. 2 [doi]

The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter OptimizationMichael R. Smith, Tony R. Martinez, Christophe Giraud-Carrier. 3-14 [doi]

Learning Data Set Similarities for Hyperparameter Optimization InitializationsMartin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme. 15-26 [doi]

Limitations of Using Constraint Set Utility in Semi-Supervised ClusteringToon van Craenendonck, Hendrik Blockeel. 27-42 [doi]

Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm SelectionAntoine Adam, Hendrik Blockeel. 43-54 [doi]

Algorithm Selection via Meta-learning and Sample-based Active TestingSalisu Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren. 55-66 [doi]

Metalearning for Multiple-Domain Transfer LearningCatarina Félix, Carlos Soares, Alípio Jorge. 67-79 [doi]

Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification TasksRafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. Carvalho. 80-92 [doi]

Sharing RapidMiner Workflows and Experiments with OpenMLJan N. van Rijn, Joaquin Vanschoren. 93-103 [doi]

Meta-QSAR: Learning How to Learn QSARsIván Olier, Crina Grosan, Noureddin Sadawi, Larisa N. Soldatova, Ross D. King. 104-105 [doi]

Concept of a Rule-based Configurator for Auto-WEKA Using OpenMLPatryk Kiepas, Szymon Bobek, Grzegorz J. Nalepa. 106-107 [doi]

Generating Workflow Graphs Using Typed Genetic ProgrammingTomás Kren, Martin Pilát, Klára Pesková, Roman Neruda. 108-109 [doi]

Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start SituationsDirk Schäfer, Eyke Hüllermeier. 110-111 [doi]

Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive AnalyticsMilan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic. 112-114 [doi]

Study on Meta-Learning Approach Application in Rank Aggregation Algorithm SelectionAlexey Zabashta, Ivan Smetannikov, Andrey Filchenkov. 115-116 [doi]

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