| Vol-1455 urn:nbn:de:0074-1455-8 Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# MetaSel 2015
Meta-Learning and Algorithm Selection

### 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.

Edited by

### Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Pavel Brazdil, FEP, University of Porto / Inesc Tec, Portugal
Christophe Giraud-Carrier, Brigham Young University, USA
Lars Kotthoff, University of British Columbia, Canada

## 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

The whole proceedings can also be downloaded as a single file (PDF).

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2015-09-22: submitted by Joaquin Vanschoren, metadata incl. bibliographic data published under Creative Commons CC0
2015-09-22: published on CEUR-WS.org |valid HTML5|