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CLASS-L  March 2010

CLASS-L March 2010

Subject:

NIPS 2010 Call For Papers

From:

Chris Hiestand <[log in to unmask]>

Reply-To:

Classification, clustering, and phylogeny estimation

Date:

Sat, 20 Mar 2010 14:32:40 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (139 lines)

NIPS 2010 CALL FOR PAPERS
http://nips.cc/Conferences/2010/CallForPapers

Submissions are solicited for the Twenty-Fourth Annual Conference
on Neural Information Processing Systems, an interdisciplinary
conference that brings together researchers in all aspects of neural
and statistical information processing and computation. The conference
is a highly selective, single track meeting that includes invited
talks as well as oral and poster presentations of refereed papers.
Submissions by authors who are new to NIPS are encouraged. This
year we are encouraging our reviewers to favor papers that open new
avenues of research as well papers with solid applications.

Preceding the main conference will be one day of tutorials (December
6), and following will be two days of workshops at the Whistler/Blackcomb
ski resort (December 10-11).

Deadline for Paper Submissions: Thursday June 3, 2010, 23:59 Universal
Time (4:59pm Pacific Daylight Time) – please note the change of day
to Thursday from the usual Friday deadline.
submit here: https://cmt.research.microsoft.com/NIPS2010/


Technical Areas: Papers are solicited in all areas of neural
information processing and statistical learning, including, but not
limited to:

    * Algorithms and Architectures: statistical learning algorithms,
    kernel methods, graphical models, Gaussian processes, neural
    networks, dimensionality reduction and manifold learning, model
    selection, combinatorial optimization, relational and structured
    learning.

    * Applications: innovative applications or fielded systems that
    use machine learning, including systems for time series prediction,
    bioinformatics, systems biology, text/web analysis, multimedia
    processing, and robotics.

    * Brain Imaging: neuroimaging, cognitive neuroscience, EEG
    (electroencephalogram), ERP (event related potentials), MEG
    (magnetoencephalogram), fMRI (functional magnetic resonance
    imaging), brain mapping, brain segmentation, brain computer
    interfaces.

    * Cognitive Science and Artificial Intelligence: theoretical,
    computational, or experimental studies of perception, psychophysics,
    human or animal learning, memory, reasoning, problem solving,
    natural language processing, and neuropsychology.

    * Control and Reinforcement Learning: decision and control,
    exploration, planning, navigation, Markov decision processes,
    game playing, multi-agent coordination, computational models
    of classical and operant conditioning.

    * Hardware Technologies: analog and digital VLSI, neuromorphic
    engineering, computational sensors and actuators, microrobotics,
    bioMEMS, neural prostheses, photonics, molecular and quantum
    computing.

    * Learning Theory: generalization, regularization and model
    selection, Bayesian learning, spaces of functions and kernels,
    statistical physics of learning, online learning and competitive
    analysis, hardness of learning and approximations, statistical
    theory, large deviations and asymptotic analysis, information
    theory.

    * Neuroscience: theoretical and experimental studies of processing
    and transmission of information in biological neurons and
    networks, including spike train generation, synaptic modulation,
    plasticity and adaptation.

    * Speech and Signal Processing: recognition, coding, synthesis,
    denoising, segmentation, source separation, auditory perception,
    psychoacoustics, dynamical systems, recurrent networks, language
    models, dynamic and temporal models.

    * Visual Processing: biological and machine vision, image
    processing and coding, segmentation, object detection and
    recognition, motion detection and tracking, visual psychophysics,
    visual scene analysis and interpretation.

Evaluation Criteria: Submissions will be refereed on the basis of
technical quality, novelty, potential impact, and clarity.

Submission Instructions: All submissions will be made electronically,
in PDF format. As in previous years, reviewing will be double-blind
-- the reviewers will not know the identities of the authors. Papers
are limited to eight pages, including figures and tables, in the
NIPS style. An additional ninth page containing only cited references
is allowed. Complete submission and formatting instructions, including
style files, are available from the NIPS website, http://nips.cc.

Supplementary Material: Authors can submit up to 10 MB of material,
containing proofs, audio, images, video, or even data or source
code. Note that the reviewers and the program committee reserve the
right to judge the paper solely on the basis of the 9 pages of the
paper; looking at any extra material is up to the discretion of the
reviewers and is not required.

Electronic submissions will be accepted until Thursday June 3, 2010,
23:59 Universal Time (4:59 pm Pacific Daylight Time). Note that as
with last year, final papers will be due in advance of the conference.

Dual Submissions Policy: Submissions that are identical (or
substantially similar) to versions that have been previously
published, or accepted for publication, or that have been submitted
in parallel to other conferences are not appropriate for NIPS.
Exceptions to this rule are the following:

   1. Submission is permitted of a short version of a paper that
   has been submitted, but not yet accepted, to a journal.
   
   2. Papers presented or to be presented at conferences or workshops
   without proceedings, or with only abstracts published.

The rules only apply during the NIPS review period that begins June
14 and ends August 27, 2010.

It is acceptable to submit to NIPS 2010 work that has been made
available as a technical report (or similar, e.g. in arXiv) as long
as the conditions above are satisfied. However, note that this could
compromise the authors' anonymity.

Authors’ Responsibilities: If there are papers that may appear to
violate any of these conditions, it is the authors' responsibility
to (1) cite these papers (preserving anonymity), (2) argue in the
body of your paper why your NIPS paper is non-trivially different
from these concurrent submissions, and (3) include anonymized
versions of those papers in the supplemental material.

Demonstrations and Workshops: There is a separate Demonstration
track at NIPS. Authors wishing to submit to the Demonstration track
should consult the Call for Demonstrations. The workshops will be
held at the Whistler/Blackcomb ski resort from December 10-11. The
upcoming call for workshop proposals will provide details.

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