Connectionists: DEADLINE EXTENDED - "Byte the bullet: learning on real-world computing architectures" - ESANN 2014 Special Session Call for Papers

[Alessandro Ghio]

***     Apologies for cross posting     ***

ESANN 2014 Special Session - "Byte the bullet: learning on real-world computing architectures" - CALL FOR PAPERS 
-- DEADLINE FOR PAPER SUBMISSION POSTPONED TO 6 DECEMBER 2013 --

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium - http://www.esann.org

Submissions are invited for next year ESANN Special Session "Byte the bullet: learning on real-world computing architectures". 

Organizers: 
Davide Anguita, Alessandro Ghio, Luca Oneto
University of Genoa (Italy)

ESANN 2014 Special Session "Byte the bullet: learning on real-world computing architectures" webpage: http://btb.smartlab.ws


TOPICS
In this special session, we would like to encourage submissions related to the development and the application of fast, effective, reliable techniques, which consider possibilities, potentialities and constraints of real-world computing architectures as basic cornerstones and motivations. This list includes (despite not being limited to):
Bit-based models (e.g. bit-base reformulations, Weightless Neural Networks) & their applications (e.g. sensor networks)
Learning on dedicated (e.g. GPU, FPGA) and unconventional (e.g. quantum computing systems) architectures
Linear & sub-linear ML algorithms for High-Performance Computing
Learning on large, distributed and cloud architectures.

Note that:

Theoretical, practical and applicative works are all welcome
The relevance with reference to the Special Session topics should be emphasized by the authors in their submissions.

ABSTRACT
Fast, effective, reliable models: these are the desiderata of every theorist and practitioner. 
Machine Learning (ML) algorithms, proposed in the last decades, proved to be effective and reliable in solving complex real-world problems. A huge amount of work has been spent to properly reformulate or revise these techniques, which are usually designed without taking into account the destination computing architecture, in order to make them run as fast as possible. 
This effort is often motivated by application-specific requirements, such as the need to accelerate the learning process with dedicated/distributed hardware (e.g. cloud computing) or to foster energy-sparing requirements of applications based on mobile standalone devices (e.g. smartphones, sensor networks). 
Contemplating the destination computing architecture influences overall performance, but can also be exploited for implementation benefits: it is the case of quantum computing, and of recent advances in ML showing how the generalization capability of learnt models can take advantage of computational constraints in learning.

SUBMISSION & 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). Remember to select the BTB special session for your submission, otherwise the paper will be considered for the traditional ESANN tracks. 

Paper submission deadline : 6 December 2013
Notification of acceptance : 31 January 2014
Deadline for final papers : 21 February 2014
ESANN 2014 conference : 23-25 April 2014


NOTES
You can find details about the special session at http://btb.smartlab.ws. If you have any questions concerning the special session, please do not hesitate to contact us via email to: btb at smartlab.ws

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

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Dr. Alessandro Ghio, Ph.D.

DITEN - University of Genoa
Via Opera Pia 11a, I-16145 Genoa (Italy)

T. +39-(0)10-3532192
F. +39-(0)10-3532897
@ Alessandro.Ghio at smartlab.ws

W http://smartlab.ws/
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