[Elsnet-list] Call for papers workshop on New Learning Frameworks and Models for BigData

Massih-Reza Amini Massih-Reza.Amini at imag.fr
Fri Jul 5 09:35:27 CEST 2013


Workshop on New Learning Frameworks and Models for BigData - Submission 
deadline: 07/30/2013

Workshop at IEEE international conference on BigData 6 October 2013, 
Silicon Valley, USA


Important Dates
*****Workshop paper submission deadline: July 30, 2013
*****Workshop paper acceptance notification: August 20, 2013
*****Workshop paper camera-ready deadline: September 10, 2013


Huge amounts of data are now easily and legally available on the Web. 
This data is generally heterogeneous and merely structured. Machine 
learning models which have been developed to automatically retrieve, 
classify or cluster observations on large yet homogeneous data 
collections have to be rethought. Indeed, many challenging problems, 
inevitably associated to Big Data, have manifested the needs for 
tradeoffs between the two conflicting goals of speed and accuracy. This 
has led to some recent initiatives in both theory and practice and has 
highly motivated the interest of the Machine Learning community. Further 
theoretical challenges include how to tackle problems with large number 
of target classes, appropriate optimization techniques to handle big 
data problems. Structured/sequential prediction models for big data 
problems such as prediction in hierarchy of classes has also gained 
importance in recent years.

The goal of this workshop is to bring together research studies aiming 
at developing new machine learning tools to handle new challenges 
associated to Big Data mining. We are especially interested on the 
following topics:

         Distributed on-line learning
         Multi-task learning for big data
         Transfer Learning for big data
         Optimization techniques for large-scale learning
         Handling large number of target classes in big data
         Structured prediction models in big data
         Speed/Accuracy tradeoffs in big data
         Statistical inference for big data
         Noise in Big data


Please submit your electronic submissions at


no later than July the 30th, 2013. All papers accepted for workshops 
will be included in the Workshop Proceedings published by the IEEE 
Computer Society Press, made available at the Conference. All 
submissions must be in PDF format and particular care should be taken to 
ensure that your paper prints well. Some accepted papers will be 
selected for edition into a book.

Massih-Reza Amini: Laboratoire d'Informatique de Grenoble, University of 
Rohit Babbar: Laboratoire d'Informatique de Grenoble, University of 
Eric Gaussier: Laboratoire d'Informatique de Grenoble, University of 
Ioannis Partalas: Laboratoire d'Informatique de Grenoble, University of 

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