18.160 conferences

               Humanist Discussion Group, Vol. 18, No. 160.
       Centre for Computing in the Humanities, King's College London
                   www.kcl.ac.uk/humanities/cch/humanist/
                        www.princeton.edu/humanist/
                     Submit to: humanist_at_princeton.edu

   [1] From: Jesús A. González Bernal
         Subject: FIRST IBEROAMERICAN WORKSHOP ON MACHINE LEARNING FOR
                 SCIENTIFIC DATA ANALYSIS

   [2] From: Carlos Martin-Vide <cmv_at_astor.urv.es> (37)
         Subject: IWINAC-2005 pre-organized session: call for papers

--[1]------------------------------------------------------------------
         Date: Wed, 25 Aug 2004 07:25:49 +0100
         From: Jesús A. González Bernal
         Subject: FIRST IBEROAMERICAN WORKSHOP ON MACHINE LEARNING FOR
SCIENTIFIC DATA ANALYSIS

We apologize for the multiple reception of this message.
CALL FOR PAPERS First Iberoamerican Workshop on Machine Learning for
Scientific Data Analysis November 22 - 26, 2004 Tonantzintla, Puebla,
Mexico Workshop WebSite: http://ccc.inaoep.mx/mlsda/ IBERAMIA 2004
Conference: http://www.inaoep.mx/iberamia2004/
First Iberoamerican Workshop on Machine Learning for Scientific Data Analysis
The First Iberoamerican Workshop on Machine Learning for Scientific Data
Analysis will take place in conjunction with the IX Ibero-American
Conference on Artificial Intelligence (IBERAMIA), hosted by the Instituto
Nacional de Astrofísica, Óptica y Electrónica (INAOE).
Topics We invite contributions that describe new learning techniques and
algorithms that aid in solving the problems associated with analyzing
scientific data as well as contributions describing applications in any
scientific discipline.
Dealing with heterogeneous data, with varying levels of noise Taking
advantage of the vast amounts of unlabeled data available Taking advantage
of prior scientific knowledge Selecting and creating new features
efficientlyPerforming high-level learning Performing high-level learning
Development of algorithms that learn from distributed data efficiently
Knowledge discovery in structured domains Knowledge discovery in data
streams Graph-based data mining
Submission Guidelines Authors should format their papers according to the
LNCS guidelines. Papers must be written in English, with a length between
four and eight pages. Paper submission will be done by e-mail to the
workshop e-mail address iberamia-ml_at_inaoep.mx by July 30, 2004.
Proceedings Accepted papers will be published in a CD containing all the
papers of the "First Iberoamerican Workshop on Machine Learning for
Scientific Data Analysis".
Important Deadlines
Paper submissions due: September 6, 2004
Notification letters sent: September 30, 2004
Camera ready copy due: October 17, 2004

--[2]------------------------------------------------------------------
         Date: Wed, 25 Aug 2004 07:27:17 +0100
         From: Carlos Martin-Vide <cmv_at_astor.urv.es>
         Subject: IWINAC-2005 pre-organized session: call for papers

CALL FOR PAPERS

The first "International Work-Conference on the Interplay between Natural
and Artificial Computation" (IWINAC-2005) will take place in Las Palmas de
Gran Canaria, Canary Islands (Spain), June, 15-18, 2005.

[http://iwann.dia.uned.es/]

This meeting, with focus on the interplay between Neuroscience and
Computation, inherits the general purpose, the scope and the more
biologically oriented topics of the last IWANNs (Lanzarote, Alicante,
Granada and Menorca) and expands this scope to the broad and more
comprehensive fields of Computer Science, Artificial Intelligence (AI) and
Knowledge Engineering (KE), including the different paradigms: Symbolic,
Connectionist, "Situated" or Hybrid.

The Program Committee accepted the following pre-organized session in the
interdisciplinary spirit of the interplay between natural and artificial
computation:

*********************************************************************************************************************

SESSION TITLE: Computing with Networks of Evolutionary Processors

ORGANIZERS: Carlos Martin-Vide, Victor Mitrana, Jose Sempere

SCOPE:

A natural way to define computational models based on the interacting
molecular entities seems to emerge by combining our knowledge about the
behaviour and evolution of cell populations with advanced formal theories
from computer science. The main goal of this session is to get answers to
the following questions:

- Which operations amenable to be applied to molecular entities forming a
biological system can be used for designing computing networks with an
underlying structure inspired from that of the biological system?
- How to control the data navigating in the networks via precise protocols?
- How to effectively design the networks?
- What properties (computational power and efficiency, descriptional
complexity, possible implementation on electronic computers as well as
possible relevance for biology, linguistics, technology, etc.) do such
computability models possess?
- Might these models be considered as theoretical models of programmable
(universal) molecular computers?
- Which computations with practical importance can be carried out in this
computing framework in a better way than by using a classical computer?

[material deleted]
Received on Wed Aug 25 2004 - 02:56:35 EDT