Connectionists: CFP Special session ESANN 2015 in Feature and Kernel Learning

[Verónica Bolón]

*** Apologies for cross posting ***

ESANN 2015 Special Session “Feature and Kernel Learning” - CALL FOR PAPERS	

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015). 22-24 April 2015, Bruges Belgium http://www.esann.org

Submissions are invited for next year ESANN Special Session “Feature and Kernel Learning”

Organizers:

Veronica Bolon-Canedo (University of A Coruña, Spain)
Michel Donini, Fabio Aiolli (University of Padova, Italy)

ABSTRACT:

Feature selection and weighting has been an active research area in the last decades finding success in many different applications. With the advent of Big Data, the adequate identification of the relevant features has converted feature selection in an even more indispensable step.  In particular, in kernel methods features are implicitly represented by means of feature mappings and kernels. It has been shown that the correct selection of a kernel is a crucial task. An erroneous selection of a kernel can lead to poor performance. Manually searching for an optimal kernel is a time-consuming and a sub-optimal choice. 
This special session is concerned with using data to learn features and kernels automatically. Furthermore, it also aims to offer a meeting opportunity for academics and industry-related researchers, belonging to the various communities of Computational Intelligence, Machine Learning and Data Mining to discuss new areas of feature selection/learning and their application to real world problems or new challenges that need to be faced with the emerging "Big Dimensionality". 

We invite papers on feature and kernel selection/learning. In particular, topics of interest include, but are not limited to:

- Incremental or online feature learning
- Learning features in extremely high dimensional domains
- Learning features on real applications
- Learning features on small sample domains
- Feature ranking
- Feature weighting
- Multiple kernel learning
- Kernel complexity
- Scalability and efficiency of feature and kernel learning algorithms
- Evaluation of feature learning
- Multi-task and multi-view feature learning 
- Semi-supervised and unsupervised feature learning

Submitted papers will be reviewed according to the ESANN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style.


SUBMISSION AND IMPORTANT DATES:

We kindly invite you to submit a paper to this special session. Each paper will undergo to a peer reviewing process for its acceptance. Paper submission should be done exclusively through the ESANN portal following the instructions provided in:
http://www.elen.ucl.ac.be/esann/index.php?pg=submission

Paper submission deadline: 21 November 2014
Notification of acceptance: 31 January 2015
ESANN 2015 conference: 22-24 April 2015


More information about the Conference Program, accomodation facilities and registration fees is available on the ESANN website http://www.esann.org



Verónica Bolón Canedo, Ph.D.
LIDIA group
Department of Computer Science
Faculty of Informatics
Universidade da Coruña

Campus de Elviña, s/n
15071 - A Coruña, Spain

Phone: +34 981 167150 Ext. 1305
Fax: +34 981 167160
e-mail: veronica.bolon at udc.es
http://www.lidiagroup.org/veronica-bolon.html






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