MetaSel 2015
Meta-Learning and Algorithm Selection

Table of Contents

Session 1: Invited Talks

• Applying Model-Based Optimization to Hyperparameter Optimization in Machine Learning 1 - 1
  Bernd Bischl
  
• On a Few Recent Developments in Meta-Learning for Algorithm Ranking and Selection 2 - 2
  Bernhard Pfahringer
  

Session 2: Full Papers

• The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization 3 - 14
  Michael R. Smith , Tony Martinez , Christophe Giraud-Carrier
  
• Learning Data Set Similarities for Hyperparameter Optimization Initializations 15 - 26
  Martin Wistuba , Nicolas Schilling , Lars Schmidt-Thieme
  
• Limitations of Using Constraint Set Utility in Semi-Supervised Clustering 27 - 42
  Toon Van Craenendonck , Hendrik Blockeel
  
• Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection 43 - 54
  Antoine Adam , Hendrik Blockeel
  
• Algorithm Selection via Meta-learning and Sample-based Active Testing 55 - 66
  Salisu M. Abdulrahman , Pavel Brazdil , Jan N. van Rijn , Joaquin Vanschoren
  
• Metalearning for Multiple-Domain Transfer Learning 67 - 79
  Catarina Félix , Carlos Soares , Alípio Jorge
  
• Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks 80 - 92
  Rafael G. Mantovani , André L. D. Rossi , Joaquin Vanschoren , André C.P.L.F. Carvalho
  
• Sharing RapidMiner Workflows and Experiments with OpenML 93 - 103
  Jan N. van Rijn , Joaquin Vanschoren
  

Session 3: Extended Abstracts

• Meta-QSAR: Learning How to Learn QSARs 104 - 105
  Ivan Olier , Crina Grosan , Noureddin Sadawi , Larisa Soldatova , Ross D. King
  
• Concept of a Rule-based Configurator for Auto-WEKA Using OpenML 106 - 107
  Patryk Kiepas , Szymon Bobek , Grzegorz J. Nalepa
  
• Generating Workflow Graphs Using Typed Genetic Programming 108 - 109
  Tomáš Kren , Martin Pilát , Klára Pešková , Roman Neruda
  
• Preference-Based Meta-Learning using Dyad Ranking: Recommending Algorithms in Cold-Start Situations 110 - 111
  Dirk Schäfer , Eyke Hüllermeier
  
• Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics 112 - 114
  Milan Vukicevic , Sandro Radovanovic , Joaquin Vanschoren , Giulio Napolitano , Boris Delibasic
  
• Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection 115 - 116
  Alexey Zabashta , Ivan Smetannikov , Andrey Filchenkov