Meta-learning Workshop
In Conjunction with the
Workshop Program
Introduction
This workshop is about meta-learning. One underlying goal of meta-learning
is the understanding of the interaction between the mechanism of learning and
the concrete contexts in which that mechanism is applicable. Meta-learning
differs from base-learning in the scope of the level of adaptation. Whereas
learning at the base-level focuses on accumulating experience on a specific
learning task (e.g., credit rating, medical diagnosis, mine-rock discrimination,
fraud detection, etc.), learning at the meta-level is concerned with accumulating
experience on the performance of multiple applications of a learning system.
This, in turn, may assist in such applications as model selection and transfer
learning.
Over the past decade, much work has been done in this area, scattered across
mostly traditional machine learning journals and conferences. We feel there is
added value in bringing interested researchers, especially those from the neural
network community, together in a workshop to assess the state-of-the-art, see
where we are going and provide new impetus to the field.
Detailed Program
- 7:00 PM - Welcome and Introduction
- 7:10 PM - Keynote Address: Bootstrapped Learning and Deliberative Meta Learning, Dan Oblinger, DARPA, USA
- 8:10 PM - Break
- 8:25 PM - Contributed Paper: Meta-learning as Scheme-based Search with Complexity Control, Krzysztof Grabczewski and Norbert Jankowski, Nicolaus Copernicus University, Poland
- 8:45 PM - Invited Talk: Bridging the Gap between Data Mining and Decision Support, Michel Charest, Universty of Quebec at Trois-Rivieres, Canada
- 9:15 PM - Break
- 9:30 PM - Contributed Paper: No-Free-Lunch and Bayesian Optimality, James Carroll and Kevin Seppi, Brigham Young University, USA
- 9:50 PM - Invited Talk: Generalising Meta-learning Concepts: from Classification, to Forecasting, to Optimisation, and Beyond, Kate Smith-Miles, Deakin University, Australia
- 10:20 PM - Concluding Remarks
Organization
Organizers
Christophe Giraud-Carrier, Brigham Young University, USA
Ricardo Vilalta, University of Texas at Houston, USA
Program Committee
Jonathan Baxter, Panscient Technologies, USA
Juan Botia, Universidad de Murcia, Spain
Philip Chan, Florida Institute of Technology, USA
Melanie Hilario, Univeristy of Geneva, Switzerland
Carlos Soares, LIACC, University of Porto, Portugal