Shogun 2013 - Shogun Machine Learning Workshop
Topics/Call fo Papers
Shogun Machine Learning Workshop, Berlin, Germany
July 12-14, 2013
http://shogun-toolbox.org/page/Events/workshop2013
==================
Data Science, Big-Data are omnipresent terms documenting the need for
automated tools to analyze the ever growing wealth of data. To this end
we invite practitioners, researchers and students to participate in the
first Shogun machine learning workshop. While the workshop is centered
around the development and use of the shogun machine learning toolbox,
it will also feature general machine learning subjects.
General Information
===================
The workshop will include:
* A general introduction to machine learning held by Gunnar Raetsch.
* Introductory talks about e.g. Dimension reduction techniques,
Kernel-statistical testing, Gaussian Processes, Structured Output
learning
* Contributed talks and a poster session, and a poster-spotlight.
* A discussion panel
* A hands on session on July 13-14
Do not miss the chance to familiarize yourself with the shogun machine
learning toolbox for solving various data analysis tasks and to talk to their
authors and contributors. The program of the workshop will cover from basic to
advanced topics in machine learning and how to approach them using Shogun, which
makes it suitable for anyone, no matter if you are a senior researcher or
practitioner with many year's of experience, or a junior student willing
to discover much more. Interested?
A tentative schedule is available at
http://shogun-toolbox.org/page/Events/workshop2013... .
Call for contributions
======================
The organizing committee is seeking workshop contributions. The
committee will select several submitted contributions for 15-minute
talks and poster presentations. The accepted contributions will also
be published on the workshop web site.
Amongst other topics, we encourage submission that
* are applications / publications utilizing Shogun
* are highly relevant to practitioners in the field
* are of broad general interest
* are extensions to Shogun
Submission Guidelines
=====================
Send an abstract of your talk/contribution to shogun-workshop2013-AT-shogun-toolbox.org
before June 1. Notifications will be given on June 7.
Registration
============
Workshop registration is free of charge. However, only a limited number
of seats is available. First-come, first-served! Register by filling out the
registration form http://shogun-toolbox.org/page/Events/registration .
Location and Timeline
=====================
The main workshop will take place at c-base Berlin (http://c-base.org/
https://en.wikipedia.org/wiki/C-base) on July 12. It is followed by
additional 2-day hands-on sessions held at TU Berlin
(http://www.ml.tu-berlin.de/) on July 13-14.
About the Shogun machine learning toolbox
=========================================
Shogun is designed for unified large-scale learning for a broad range of
feature types and learning settings, like classification, regression, or
explorative data analysis. Further information is available at
http://www.shogun-toolbox.org.
July 12-14, 2013
http://shogun-toolbox.org/page/Events/workshop2013
==================
Data Science, Big-Data are omnipresent terms documenting the need for
automated tools to analyze the ever growing wealth of data. To this end
we invite practitioners, researchers and students to participate in the
first Shogun machine learning workshop. While the workshop is centered
around the development and use of the shogun machine learning toolbox,
it will also feature general machine learning subjects.
General Information
===================
The workshop will include:
* A general introduction to machine learning held by Gunnar Raetsch.
* Introductory talks about e.g. Dimension reduction techniques,
Kernel-statistical testing, Gaussian Processes, Structured Output
learning
* Contributed talks and a poster session, and a poster-spotlight.
* A discussion panel
* A hands on session on July 13-14
Do not miss the chance to familiarize yourself with the shogun machine
learning toolbox for solving various data analysis tasks and to talk to their
authors and contributors. The program of the workshop will cover from basic to
advanced topics in machine learning and how to approach them using Shogun, which
makes it suitable for anyone, no matter if you are a senior researcher or
practitioner with many year's of experience, or a junior student willing
to discover much more. Interested?
A tentative schedule is available at
http://shogun-toolbox.org/page/Events/workshop2013... .
Call for contributions
======================
The organizing committee is seeking workshop contributions. The
committee will select several submitted contributions for 15-minute
talks and poster presentations. The accepted contributions will also
be published on the workshop web site.
Amongst other topics, we encourage submission that
* are applications / publications utilizing Shogun
* are highly relevant to practitioners in the field
* are of broad general interest
* are extensions to Shogun
Submission Guidelines
=====================
Send an abstract of your talk/contribution to shogun-workshop2013-AT-shogun-toolbox.org
before June 1. Notifications will be given on June 7.
Registration
============
Workshop registration is free of charge. However, only a limited number
of seats is available. First-come, first-served! Register by filling out the
registration form http://shogun-toolbox.org/page/Events/registration .
Location and Timeline
=====================
The main workshop will take place at c-base Berlin (http://c-base.org/
https://en.wikipedia.org/wiki/C-base) on July 12. It is followed by
additional 2-day hands-on sessions held at TU Berlin
(http://www.ml.tu-berlin.de/) on July 13-14.
About the Shogun machine learning toolbox
=========================================
Shogun is designed for unified large-scale learning for a broad range of
feature types and learning settings, like classification, regression, or
explorative data analysis. Further information is available at
http://www.shogun-toolbox.org.
Other CFPs
Last modified: 2013-04-19 23:37:43