2nd CFP (Deadline Extension)

 

Special Session on Transfer Learning

International Work Conference on Artificial Neural Networks, June 10 - 12,
2015, Palma de Mallorca, Spain 

 

Transfer Learning (TL) aims to transfer knowledge acquired in one problem,
the source problem, onto another problem, the target problem, dispensing
with the bottom-up construction of the target model. The TL approach has
gained significant interest in the Machine Learning (ML) community since it
paves the way to devise intelligent learning models that can easily be
tailored to many different domains of applicability.
The following aspects have recently contributed to the emergence of TL:

-          Generalization Theory: TL often produces algorithms with good
generalization capability for different problems;

-          Efficient TL algorithms: TL provides learning models that can be
applied with far less computational effort than standard ML methods; 

-          Unlabeled data: TL can be advantageous since unlabeled data can
have severe implications in some fields of research, such as in the
biomedical field. 

 The topics of this special session are:

·       Big Data with Deep Neural Networks; 

·       Generalization Bounds;

·       Domain Adaptation or Covariate Shift;

·       Algorithms for TL;

·       New advancements in TL;

·       Real-world applications. 

 

Paper Submission Deadline: February 23rd, 2015

 

Web:  <http://iwann.ugr.es/2015> http://iwann.ugr.es/2015

 
<http://iwann.ugr.es/2015/iwann15.php?menu=contributions&sub=specialsesions>
http://iwann.ugr.es/2015/iwann15.php?menu=contributions&sub=specialsesions

 

Submission process: The submission process follows the same guidelines as
any other paper on IWANN. Please refer to Authors Information in the IWANN
webpage. When submitting choose Transfer Learning as the Category.

 

Organizers:

Luís M. Silva - Dep. of Mathematics, University of Aveiro, Portugal -
<mailto:[email protected]> [email protected]

Jorge M. Santos - Dep. of Mathematics, Engineering School of the Polytechnic
of Porto, Portugal - <mailto:[email protected]> [email protected]


For further assistance please contact one of the organizers. 

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