MLMTA'07 - The 2007 International Conference on Machine Learning: Models, Technologies & Applications
MLMTA

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Dates
Paper Submission
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Evaluation Process
Publication
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MLMTA'07 - The 2007 International Conference on Machine Learning: Models, Technologies & Applications
Monte Carlo Resort, Las Vegas, Nevada, USA (June 25-28, 2007)

MLMTA'07 is an international conference held simultaneously with a number of other joint conferences as part of WORLDCOMP'07 (The 2007 World Congress in Computer Science, Computer Engineering, and Applied Computing). WORLDCOMP'07 is the largest annual gathering of researchers in computer science, computer engineering and applied computing. Many of the joint conferences in WORLDCOMP are the premier conferences for presentation of advances in their respective fields (for the complete list of joint conferences Click Here).

MLMTA'07 aims to bring together researches from computer science, applied statistics, applied mathematics and engineering working in the field of Machine Learning. In addition to traditional topics in development and application of statistical methods in data analysis MLMTA'07 has this year a special focus on methods utilizing the 'systems view' of a problem. Due to the fact that graph-based methods have proven to be an useful mathematical representation of problems in this class submitted papers developing or applying graph-based statistical methods are of utmost interest.

The last set of conferences (MLMTA'06 and affiliated events) had research contributions from 76 countries and had attracted over 1,500 participants. It is anticipated to have over 2,000 participants for the 2007 event.

You are invited to submit a draft paper of about 4-7 pages (see details about Submission of Papers) and/or a proposal to organize a Technical Session / workshop. All accepted papers will be published in the respective conference proceedings. The names of technical session/workshop organizers/chairs will appear on the cover of the proceedings/books as Associate Editors.
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Topics of interest:

    • 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
        • Sequential Monte Carlo methods
        • Particle filter
        • Cross-Entropy method
        • Ant colony optimization
        • Time series prediction
        • Fuzzy logic and learning
        • Inductive learning and applications
        • Grammatical inference
    • 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
    • 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
        • General Structure-based approaches in web authoring
        • General Structure-based approaches in information extraction
        • General Structure-based approaches in web content mining
        • Graph and tree mining approaches for analyzing web-based document structures
        • Analysis of link structures
        • Latent semantic analysis
        • Aspects of natural language processing
        • Categorization of web-based units
        • Aspects of text technology
        • Computational linguistics and application
        • Computational vision
        • Bioinformatics
        • Biostatistics
        • Computational Biology
        • High-throughput data analysis
        • Biological network analysis:
          • protein-protein networks
          • signaling networks
          • metabolic networks
          • transcriptional regulatory networks
        • Graph Inference based on biological data
        • Graph-based models in biostatistics
        • Optimization methods in bioinfomatics and biochemistry
        • Speech and Signal Processing
        • Computational Neuroscience
        • Computational Chemistry
        • Computational Statistics
        • Systems Biology
        • Algebraic Biology

Dates

  • Jan. 12, 2007: Extended deadline for proposals to organize / chair sessions
  • March 20, 2007: Draft paper submissions due
  • April 10, 2007: Notification of acceptance
  • April 20, 2007: Final camera-ready papers & pre-registration due
  • June 25-28, 2007: The WORLDCOMP'07 24 joint conferences

All accepted papers are expected to be presented at the conference.


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Paper Submission

Prospective authors are invited to submit their draft paper (between 4 to 7 pages - single space, font size of 10 to 12) or abstract to MLMTA || bio-complexity.com. The length of the Camera-Ready papers (if accepted) will be limited to 7 (IEEE style can be found here) 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 (including country) and E-mail address for each author
  • A maximum of 5 keywords and the name of the conference the paper is being submitted to must be mentioned on the first page.
Also, the file size is limited to 8 MB. Violations of any of the above paper specifications may result in rejection of the paper!

In addition to paper submissions we also accept abstracts (not longer than one page) for poster presentations.
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Evaluation

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 two members of the program committee who will recommend a decision to the chair of the track that the paper has been submitted to. The chair will make the final decision. Lastly, the Camera-Ready papers will be reviewed by one member of the program committee.
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Publication

The conference proceedings will be published by CSREA Press (ISBN) in hardcopy. The proceedings will be available for distribution at the conference.

All conference proceedings published by CSREA Press are considered for inclusion in major database indexes that are designed to provide easy access to the current literature of the sciences (database examples: ISI Thomson Scientific, IEE INSPEC, DBLP, ...).

Authors of selected papers will receive the opportunity to submit an extended version of their paper to be published in the journal Applied Artificial Intelligence. Details about this will be provided to the authors shortly after the conference. The submission deadline for the extended paper will be September 30th, 2007.
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Location

MLMTA
3770 Las Vegas Blvd. South
Las Vegas, Nevada, 89109
Information or reservations: 888-529-4828 / 702-730-7777
The conference will be held at the Monte Carlo Resort hotel, in Las Vegas, Nevada, USA (with any overflows at other near-by hotels). The Monte Carlo Resort is a mega hotel with excellent conference facilities and over 3,000 rooms. The hotel is minutes from the Las Vegas airport with 24-hour shuttle service to and from the airport. This hotel has many vacation and recreational attractions, including: Monte Carlo Resort hotelwaterfalls, casino, spa, pools and kiddie pools, sunning decks, Easy River water ride, wave pool with cascades, lighted tennis courts, health spa (with workout equipment, whirlpool, sauna, ...), arcade virtual reality game rooms, nightly shows, snack bars, a number of restaurants, shopping area, bars, and more. Many of these attractions are open 24 hours a day and most are suitable for families and children. The hotel is within walking distance from most other Las Vegas attractions (major shopping areas, recreational destinations, fine dining and night clubs, free street shows, ...). For the benefit of our international colleagues: the state of Nevada neighbors with the states of California, Oregon, Idaho, Utah, and Arizona. Las Vegas is only a few driving hours away from other major cities, including: Los Angeles, San Diego, Phoenix, Grand Canyon, ...
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Organizers

General Conference Chair:

  • Hamid R. Arabnia, University of Georgia, Georgia, USA

Co-Chairs:

  • Frank Emmert-Streib, University of Washington, Seattle, USA
  • Matthias Dehmer, Max F. Perutz Laboratories, Vienna Bio Center, Vienna, Austria
  • Mary Qu Yang, National Human Genome Research Institute, National Institutes of Health (NIH), U.S. Department of Health and Human Services, Bethesda, MD, USA and Purdue University, Statistical and Computational Intelligence Lab., School of Electrical and Computer Engineering, West Lafayette, Indiana, USA

Vice-Chairs:

  • Jack Y. Yang, Harvard University, Cambridge, Massachusetts, USA

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Committee

  • Goekhan BakIr, Google, Switzerland
  • Krzysztof Cios, University of Colorado at Denver and Health Sciences Center, USA
  • Alexander Gelbukh, National Polytechnic Institute, Mexico
  • Julio Vera Gonzalez, University of Rostock, Germany
  • Martin Grabner, Max F. Perutz Laboratories, Vienna Bio Center, Austria
  • Pengyu Hong, Brandeis University, USA
  • Jack Y. Yang, Harvard University, Cambridge, Massachusetts, USA

  • Prof. Hamid R. Arabnia (Coordinator/Co-Chair), University of Georgia, Georgia, USA
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Schedule

TBA
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Sponsors

Academic Co-Sponsors
  • Massachusetts Institute of Technology's (MIT) Media Lab (www.media.mit.edu)
  • Statistical Genomics and Computational Biology Laboratory, Department of Statistics, Harvard University (Cambridge, Massachusetts)
  • Texas Advanced Computer Center (TACC) of University of Texas at Austin (www.tacc.utexas.edu)
  • Statistical and Computational Intelligence Laboratory of Purdue University (West Lafayette, Indiana)
  • University of Iowa's Medical Imaging HPC Lab (Iowa City, Iowa) (www.www.uiowa.edu/~mihpclab)
  • Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia)
Other Co-Sponsors

In addition to the above, several publishers of computer science and computer engineering books and journals, chapters and/or task forces of computer science associations/organizations from 12 countries, and developers of high-performance machines and systems have provided significant help in organizing the conference.
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Contact

Questions regarding this conference?
Email: MLMTA || bio-complexity.com
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Acknowledgment

We would like to thank Stefan Koestler, Small Group, IMBA - Institute of Molecular Biotechnology GmbH, Dr. Bohr-Gasse 3, 1030 Vienna, AUSTRIA for providing the image of the cell.