Call for papers - NIPS Workshop - Low-rank Matrix Approximation for Large-scale Learning
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CALL FOR PAPERS
Low-rank Matrix Approximation for Large-scale Learning
NIPS 2010 Workshop, Whistler, Canada
December 11, 2010
http://www.eecs.berkeley.edu/~ameet/low-rank-nips10/
Submission Deadline: October 31, 2010
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OVERVIEW
Today's data-driven society is full of large-scale datasets. In the context of machine learning,
Call for contributions - New Problems and Methods in Computational Biology [NIPS 2010 MLCB workshop]
Call for contributions
New Problems and Methods in Computational Biology
A workshop at the Twenty-Third Annual Conference on
Neural Information Processing Systems (NIPS 2010)
Whistler, BC, Canada, December 10 or 11, 2010.
Deadline for submission of extended abstracts: Oct 25, 2010,
WORKSHOP DESCRIPTION
The field of computational biology has seen dramatic growth over
the past few years, in terms of newly available data, new
scientific questions and new challenges for learning and
inference. In particular, biological data is often relationally
Reconceiving Machine Learning - Postdoctoral Research Position in Machine Learning at Australian National University
A postdoctoral research position is available at the Australian National University for a
project Reconceiving Machine Learning.
Project: http://users.cecs.anu.edu.au/~williams/rml.html
Job: http://jobs.anu.edu.au/PositionDetail.aspx?p=1541
Closing: 24 October 2010
e-LICO multi-omics prediction challenge with background knowledge on Obstructive Nephropathy
We present a biological data-mining problem that poses a number of significant challenges; the available data: (i) are of high dimensionality but of extremely small sample size, (ii) come from different sources which correspond to different biological levels, (iii) exhibit a high degree of feature dependencies and interactions within and between the different sources; some of the interactions between the different sources are known and available as background knowledge, and (iv) are incomplete.
Postdoctoral Research Position in Machine Learning at Australian National University
There is a 2.5 year postdoctoral research fellow position available immediately at the
Australian National University. The position is associated with the project Structures and
Protocols for inference and the successful application would work with Prof Bob Williamson
and Dr Mark Reid.
For further details and instructions to apply see
MLSB 2010, call for papers & registration open
Call for Posters
MLSB 2010
The Fourth International Workshop on Machine Learning in Systems Biology
15-16 October 2010, Edinburgh, Scotland
**REGISTRATION IS NOW OPEN**
MOTIVATION
Molecular biology and all the biomedical sciences are undergoing a
true revolution as a result of the emergence and growing impact of a
series of new disciplines/tools sharing the "-omics" suffix in their
name. These include in particular genomics, transcriptomics,
proteomics and metabolomics, devoted respectively to the examination
CFP: NUMML 2010, NIPS Workshop on Numerical Mathematical Challenges in Machine Learning
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NUMML 2010
Numerical Mathematical Challenges in Machine Learning
NIPS*2010 Workshop
December 11th, 2010, Whistler, Canada
URL: http://numml.kyb.tuebingen.mpg.de/
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Call for Contributions
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2nd TOBI Workshop: Call for Papers
TOBI Workshop II:
Translational issues in BCI development: user needs, ethics, and technology transfer
Fondazione Santa Lucia, Rome, Italy
Dec. 2-3, 2010
http://www.tobi-project.org/TOBI-workshop-2
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= Announcement =
The TOBI Project (Tools for Brain Interaction, http://www.tobi-project.org) is organizing its second workshop, which follows the one held in Graz on February 2010.
CFP: NIPS 2010 Workshop on Discrete Optimization in Machine Learning - Structures, Algorithms and Applications (DISCML)
Call for Papers
Discrete Optimization in Machine Learning
Structures, Algorithms and Applications
Workshop at the
24th Annual Conference on Neural Information Processing Systems
(NIPS 2010)
Submission Deadline: Friday October 29, 2010
Solving optimization problems with ultimately discretely solutions is
becoming increasingly important in machine learning: At the core of
statistical machine learning is to infer conclusions from data, and
when the variables underlying the data are discrete, both the tasks of
NIPS 2010 Workshop: New Directions in Multiple Kernel Learning - Call for Contributions
CALL FOR PAPERS
New Directions in Multiple Kernel Learning
NIPS 2010 Workshop, Whistler, British Columbia, Canada
http://doc.ml.tu-berlin.de/mkl_workshop
-- Submission Deadline: October 18, 2010 --
Research on Multiple Kernel Learning (MKL) has matured to the point
where efficient systems can be applied out of the box to various
application domains. In contrast to last year's workshop, which
evaluated the achievements of MKL in the past decade, this workshop
looks beyond the standard setting and investigates new directions for
MKL.