[info] Call for Papers: The 2008 International Conference on Machine Learning; Models, Technologies, and Applications (MLMTA'08), USA, July 2008
Eugen Leitl
<eugen at leitl.org> on
Tue Jan 22 07:19:16 UTC 2008
----- Forwarded message from "A. M. G. Solo" <amgsolo at YAHOO.COM> -----
From: "A. M. G. Solo" <amgsolo at YAHOO.COM>
Date: Mon, 21 Jan 2008 14:08:20 -0800
To: EVOLUTIONARY-COMPUTING at JISCMAIL.AC.UK
Subject: Call for Papers: The 2008 International Conference on Machine Learning; Models, Technologies, and Applications (MLMTA'08), USA, July 2008
Reply-To: "A. M. G. Solo" <amgsolo at YAHOO.COM>
C A L L F O R P A P E R S
===============================
The 2008 International Conference on Machine Learning;
Models, Technologies and Applications
MLMTA'08
Date and Location: July 14-17, 2008, Las Vegas, USA
You are invited to submit a full paper for consideration.
All accepted papers will be published in the conference proceedings/book.
SCOPE: Topics of interest include, but are not limited to, the following:
O General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Multivariate analysis
- Hierarchical learning models
- Relational learning models
- Bayesian methods
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- General Learning models
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Non-parametric methods
- Graphical models
- Gaussian graphical models
- Bayesian networks
- Particle filter
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
O General Graph-based Machine Learning Techniques
- Graph kernel and graph distance methods
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations
- Graph learning based on graph grammars
- Graph learning based on graph matching
- General theoretical aspects of graph learning
- Statistical modeling of graphs
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
O Machine Learning Applications
- Aspects of knowledge structures
- Computational Finance
- Computational Intelligence
- Knowledge acquisition and discovery techniques
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval,
web authoring, information extraction, and web content mining
- Latent semantic analysis
- Aspects of natural language processing
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Bioinformatics and computational biology
- Biostatistics
- High-throughput data analysis
- Biological network analysis:
protein-protein networks, signaling networks, metabolic networks,
transcriptional regulatory networks
- Graph-based models in biostatistics
- Computational Neuroscience
- Computational Chemistry
- Computational Statistics
- Systems Biology
- Algebraic Biology
SUBMISSION OF PAPERS:
Prospective authors are invited to submit their full paper
(about 5 to 7 pages - single space, font size of 10 to 12) to
Prof. H. R. Arabnia by Feb. 25, 2008 (hra at cs.uga.edu). email
submissions in MS Doc or PDF formats are preferable. All reasonable
typesetting formats are acceptable (later, the authors of accepted
papers will be asked to follow a particular typesetting format
to prepare their papers for publication.)
The length of the Camera-Ready papers (if accepted) will be limited to
7 (IEEE style) pages. Papers must not have been previously published
or currently submitted for publication elsewhere. The first page of
the draft paper should include: title of the paper, name, affiliation,
postal address, and email address of each author as well as the name
of the conference the paper is being submitted to (ie, MLMTA'08).
The first page should also identify the name of the Contact Author
and a maximum of 5 topical keywords that would best represent the
content of the paper.
Each paper will be refereed by two experts in the field who are
independent of the conference program committee. The referees'
evaluations will then be reviewed by one member of the program
committee who will recommend a decision to the co-chairs of the track.
The track chairs will make the final decision. Lastly, the Camera-Ready
papers will be reviewed by one member of the program committee.
CONFERENCE SPONSORS:
Academic/Technical Co-Sponsors:
--> Computational Biology and Functional Genomics Laboratory,
Harvard University, Cambridge, Massachusetts, USA
http://compbio.dfci.harvard.edu/
--> Horvath Laboratory, University of California, Los Angeles (UCLA),
USA
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/
--> Minnesota Supercomputing Institute, University of Minnesota, USA
http://www.msi.umn.edu/
--> Functional Genomics Laboratory, University of Illinois at
Urbana-Champaign, USA
http://bioinformatics.bioen.uiuc.edu/
--> BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute
of Technology and Emory University, Atlanta, Georgia, USA
http://www.bio-miblab.org/
--> Intelligent Data Exploration and Analysis Laboratory, University
of Texas at Austin, Austin, Texas, USA
http://www.ideal.ece.utexas.edu/
--> Biomedical Cybernetics Laboratory, HST of Harvard University and
MIT, USA
http://bcl.med.harvard.edu/
--> Center for the Bioinformatics and Computational Genomics,
Georgia Institute of Technology, Atlanta, Georgia, USA
http://opal.biology.gatech.edu/GeneMark/
--> Harvard Statistical Genomics and Computational Laboratory,
Harvard University, Cambridge, Massachusetts, USA
--> Hawkeye Radiology Informatics, Department of Radiology,
College of Medicine, University of Iowa, Iowa, USA
http://www.uiowa.edu/~hri/
--> Medical Image HPC & Informatics Lab (MiHi Lab),
University of Iowa, Iowa, USA
http://www.uiowa.edu/mihpclab/
--> The University of North Dakota, Grand Forks, North Dakota, USA
http://www.und.edu
--> International Society of Intelligent Biological Medicine
http://www.isibm.org/
--> Institute for Informatics Problems of the Russian Academy of
Sciences, Moscow, Russia.
--> Telecommunications Task Force of the Intelligent Systems
Applications Technical Committee (ISATC) of IEEE
Computational Intelligence Society (CIS)
http://wmn.csie.ntpu.edu.tw/isatc/
--> IEEE Technical Committee on Scalable Computing (IEEE TCSC)
http://www.ieeetcsc.org/
--> IEEE Task force of Ubiquitous Intelligent Computing of IEEE
Computational Intelligence Society (CIS)
http://www.ieee-cis.org/technical/isatc/
Corporate Co-Sponsors:
--> Google, Inc.
http://www.google.com/intl/en/about.html
--> NIIT Technologies
http://www.niit-tech.com/
Other Co-Sponsors:
--> High Performance Computing for Nanotechnology (HPCNano)
http://www.hpcnano.org
--> International Technology Institute (ITI)
http://www.itiworld.org/
--> GridToday
http://www.gridtoday.com/gridtoday.html
--> HPCwire
http://www.hpcwire.com/
--> Hodges' Health (H2CM), UK
http://www.p-jones.demon.co.uk
MEMBERS OF PROGRAM AND ORGANIZING COMMITTEE:
The program committee includes members of the chapters of World
Academy of Science (chapters: supercomputing; scientific computing;
AI; imaging science; databases; simulation; software engineering;
embedded systems; internet and web technologies; communications;
computer security; and bioinformatics.) The names of the members
of the program committee will soon be posted on the web site.
Those interested in joining the program committee should email
Prof. H. R. Arabnia (hra at cs.uga.edu) the following information: Name,
affiliation and position, complete mailing address, email address,
tel/fax numbers, a short biography together with research interests.
For the list of the members of program committee of MLMTA'07, refer to:
http://www.world-academy-of-science.org/worldcomp07/ws/ICAI07/committee
Many members of the program committee include renowned leaders, scholars,
researchers, scientists and practitioners of the highest ranks; many
are directors of research laboratories, fellows of various societies,
heads/chairs of departments, deans and provosts.
IMPORTANT DATES:
Feb. 25, 2008: Submission of papers (about 5 to 7 pages)
March 25, 2008: Notification of acceptance
April 25, 2008: Camera-Ready papers and Registration due
July 14-17, 2008: The 2008 International Conference on Machine Learning;
Models, Technologies and Applications (MLMTA'08)
URL: http://www.world-academy-of-science.org/sites/worldcomp08/ws/conferences/mlmta08
____________________________________________________________________________________
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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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