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Vol-2192
urn:nbn:de:0074-2192-8
Copyright ©
2018 for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
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IAL 2018
Interactive Adaptive Learning
Proceedings of the Workshop on Interactive Adaptive Learning
co-located with European Conference on Machine Learning (ECML 2018)
and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018)
Dublin, Ireland, September 10th, 2018.
Edited by
*
Utrecht University,
Faculty of Science, 3512 JE Utrecht, Netherlands
**
Orange Labs,
22300 Lannion, France
***
University of Kassel,
Faculty of Electrical Engineering and Computer Science, 34121 Kassel, Germany
****
Graz University of Technology,
Institute of Interactive Systems & Data Science, 8010 Graz, Austria
*****
Rowan University,
Research Laboratory, 08028 Glassboro, New Jersey
Table of Contents
Full Research Papers
Extended Abstracts
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Human-Technology Relations in a Machine Learning Based Commuter App
73-76
Lars Holmberg
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An Interactive Learning Scenario for Real-time Environmental State Estimation Based on Heterogeneous and Dynamic Sensor Systems
77-79
Agnes Tegen,
Paul Davidsson,
Jan Persson
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Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization
80-84
Jakub Repický,
Zbyněk Pitra,
Martin Holena
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Towards Interactive Feature Selection with Human-in-the-loop
85-88
Maialen Larranaga,
Dimitra Gkorou,
Thiago Guzella,
Alexander Ypma,
Faegheh Hasibi,
Robert Jan van Wijk
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Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization
89-94
Zbyněk Pitra,
Jakub Repický,
Martin Holena
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Embodiment Adaptation from Interactive Trajectory Preferences
95-97
Michael Walton,
Ben Migliori,
John Reeder
2018-09-06: submitted by Daniel Kottke,
metadata incl. bibliographic data published under Creative Commons CC0
2018-09-06: published on CEUR-WS.org
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