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]