Special Session Call for Papers

 

Special Session on

Autonomous Machine Learning

http://www.icmla-conference.org/icmla10/

 


AIMS AND SCOPE

Autonomous machine learning has become a top priority in the science and engineering of learning. In July 2007, NSF had a workshop on the “Future Challenges for the Science and Engineering of Learning.” Here is the summary of the “Open Questions in Both Biological and

Machine Learning” from the workshop:     (http://www.cnl.salk.edu/Media/NSFWorkshopReport.v4.pdf).

 

“Biological learners have the ability to learn autonomously, in an ever changing and uncertain world. This property includes the ability to generate their own supervision, select the most informative training samples, produce their own loss function, and evaluate their own performance. More importantly, it appears that biological learners can effectively produce appropriate internal representations for composable percepts -- a kind of organizational scaffold - - as part of the learning process. By contrast, virtually all current approaches to machine learning typically require a human supervisor to design the learning architecture, select the training examples, design the form of the representation of the training examples, choose the learning algorithm, set the learning parameters, decide when to stop learning, and choose the way in which the performance of the learning algorithm is evaluated. This strong dependence on human supervision is greatly retarding the development and ubiquitous deployment of autonomous artificial learning systems. Although we are beginning to understand some of the learning systems used by brains, many aspects of autonomous learning have not yet been identified.”

 

This dismal NSF characterization of the state of our learning systems opens the door to creating a new generation of learning algorithms. And conferences such as ICMLA could become the focal point for research collaboration and dissemination on this new breed of learning algorithms.

 

We invite papers that explore new ideas and algorithms in all areas of machine learning and that can lead to the development of autonomous learning systems. We would take this opportunity to form a research group revolving around ICMLA for collaboration on autonomous learning systems.

 

IMORTANT DATES

Paper Submission Deadline:                                    July 15, 2010
Notification of acceptance:                                      September 7, 2010
Camera-ready papers & Pre-registration:                 October 1, 2010
The ICMLA Conference:                                          December 12-14, 2010
 
This special session will be held as part of the ICMLA’10 conference. Authors should submit papers through the main conference submission website. Papers must correspond to the requirements detailed in the instructions to authors. All conference submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at: 

http://www.icmla-conference.org/icmla10/.

 

Accepted papers must be presented by one of the authors to be published in the conference proceedings. If you have any questions, do not hesitate to direct your questions to asim.roy@asu.edu.

 

Special Session Chair:

·         Asim Roy, Arizona State University, USA

 

program committee

·         Asim Roy, Arizona State University, USA

·         Yan Meng, Stevens Institute of Technology, USA

·         Seiichi Ozawa, Kobe University, Japan

·         Paolo Arena, Univ. of Catania, Italy

·         Angelo Cangelosi, University of Plymouth, UK