[Comp-neuro] Deadline extension: KES2008 Special Session on "ADVANCED NEURAL PROCESSING SYSTEMS"

Franco Scarselli franco at dii.unisi.it
Mon Mar 17 18:28:07 CET 2008

** Our apologies if you receive multiple copies of this announcement **

Following requests from prospective authors, the deadline
for the paper submission to the KES2008 Special Session 
to March 25th, 2008. Please note that no additional extension can
be granted.


   		12th International Conference on
Knowledge-Based and Intelligent Information & Engineering Systems
			 Zagreb, Croatia
		   3, 4 and 5 September 2008

Call for papers
The research in the neural network field has come to its maturity, both
from the theoretical and the practical point of view. Nevertheless, some
problems still remain unsolved, since classical connectionist models seem
unable to cope with difficult applications, involving complex data. Recent
studies on statistical pattern recognition and neural networks show
possible directions to exploit structural information in problems which
are inherently of topological nature. On the other hand, the actual trend
for facing difficult applications is that of using hybrid approaches,
integrating in a unique framework neural networks, kernel machines, and
statistical techniques. This new scenario imposes studying new models, new
learning algorithms, and assessing their properties both theoretically and

The scope of this session is, but not limited to:
- Algorithms and Architectures: statistical learning algorithms, neural
networks, kernel methods, dimensionality reduction and manifold
learning, model selection.
- Applications: innovative applications that use machine learning,
including systems for time series prediction, bioinformatics, text/web
analysis, multimedia processing, and robotics.
- Cognitive Science and Artificial Intelligence: theoretical, computational,
or experimental studies of perception, reasoning, problem solving, and
natural language processing.
- Control and Reinforcement Learning: planning, navigation, Markov decision
processes, game-playing.
- Learning Theory: generalization, regularization and model selection, new
learning paradigms, spaces of functions and kernels, online learning and
competitive analysis, hardness of learning and approximations, information
- Learning in Graphical Domains: neural network models for graphs, SVMs and
kernel methods for graphs, probabilistic models for graphs, statistical
relational learning, and pattern recognition applications involving
graphical data.

Paper submission
Authors are encouraged to submit high quality, original work that has neither appeared in, nor is under consideration by, other conferences/journals. All submissions will be refereed by experts in the field based on originality, significance, and clarity. The conference preceedings will be published by Springer-Verlag in Lecture Notes in AI as part of the LNCS/LNAI series. When formatting papers - that must be no more than eight (8) pages long, including figures and bibliography - please refer to the Springer-Verlag site and strictly follow the instructions for LNCS authors (http://www.springer.de/comp/lncs/authors.html).

Important Dates
.	Deadline for paper submission: March 25th 2008
.	Notification of acceptance: April 10th 2008
.	Camera-ready papers: May 1st 2008

Organized by:
.       Monica Bianchini, Marco Maggini, Franco Scarselli
     University of Siena, Italy

Program Committee 
.	Simone Fiori, Politechnic University of Marche, Italy
.	Barbara Hammer, Clausthal University of Technology, Germany
.	Simone Marinai - University of Florence, Italy 
. Alfredo Petrosino, University of Naples "Parthenope", Italy
.	Friedhelm Schwenker, University of Ulm, Germany
.	Peter Tino, The University of Birmingham, United Kingdom
. Edmondo Trentin, University of Siena, Italy

Other details are available at:

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