Last Call for Papers: Special Issue of IEEE TNNLS on "Learning in Non-(geo)metric Spaces"

Posted by Rebecca Martin on Mon, 09/09/2013 - 09:12

LAST CALL FOR PAPERS

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Special Issue on
Learning in Non-(geo)metric Spaces

Traditional machine learning and pattern recognition techniques are intimately linked to the notion of "feature space." Adopting this view, each object is described in terms of a vector of numerical attributes and is therefore mapped to a point in a Euclidean
(geometric) vector space so that the distances between the points reflect the observed (dis)similarities between the respective objects.

Postdoctoral positions in Computer Science in Helsinki, Finland

Posted by Rebecca Martin on Wed, 04/09/2013 - 09:15

Application deadline Sept 30, 2013, 3:00 p.m. EEST

Topics include: Algorithms, Bioinformatics, Human-Computer Interaction, Information retrieval, Logic, Machine Learning, Networks, Statistical Data Analysis, etc. http://www.hiit.fi/postdoc-call-2013

Jobs are available at:
Helsinki Institute for Information Technology HIIT, Aalto Univ and Univ Helsinki; Dept Computer Science, Univ Helsinki; Dept Information and Computer Science, Aalto Univ; Dept Computer Science and Engineering, Aalto Univ; Dept Mathematics and Statistics, Univ Helsinki.

CALL FOR PAPERS NIPS 2013 Workshop on Constructive Machine Learning

Posted by Rebecca Martin on Tue, 03/09/2013 - 15:26

It is our pleasure to invite submissions to the *NIPS 2013 Workshop on Constructive Machine Learning*
9 or 10 December 2013 (to be determined) Lake Tahoe, Nevada, USA

http://www.kdml-bonn.de/cml/

*Overview*

CFP XC13 - The NIPS Workshop on Multi-Class/Label Learning with Millions of Categories

Posted by Rebecca Martin on Tue, 03/09/2013 - 09:18

Call For Papers
eXtreme Classification 2013
The NIPS Workshop on Multi-Class & Multi-Label Learning with Millions of Categories
9th or 10th December 2013
Submission deadline: 9th October 2013
URL: http://www.research.microsoft.com/~manik/events/xc13/index.html

ECMLPKDD'13: call for participation

Posted by Rebecca Martin on Tue, 03/09/2013 - 08:18

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) will take place in Prague from September 23th to 27th, 2013.

ECML-PKDD is the prime European scientific event in machine learning and data mining. It will feature presentations of contributed papers and invited speakers, a wide program of workshops and tutorials on the first and last days, a discovery challenge, an industrial track, and tracks with demo and 'nectar' talks. Next to the traditional awards, it will also have, for the first time, an open science award.

Research Associate in Statistics at the Department of Statistical Science, University College London

Posted by Rebecca Martin on Tue, 03/09/2013 - 07:59

Salary: £32,375 - £39,132 per annum
Duration of post: 12 months in the first instance Closing date: 29 Sep 2013
Project: VOLTNET - Ref:1360287

---
Applications are invited for a Research Associate position at UCL.

CALL FOR PAPERS NIPS 2013 Workshop on Constructive Machine Learning

Posted by Rebecca Martin on Mon, 02/09/2013 - 09:46

*Overview*

In many real-world applications, machine learning algorithms are employed as a tool in a "constructive process". These processes are similar to the general knowledge-discovery process but have a more specific goal: the construction of one-or-more domain elements with particular properties. The most common use of machine learning algorithms in this context is to predict the properties of candidate domain elements.

Call for Contributions: Resource-Efficient Machine Learning, NIPS-2013 workshop

Posted by Rebecca Martin on Wed, 28/08/2013 - 10:26

CALL FOR ABSTRACTS AND OPEN PROBLEMS
Resource-Efficient Machine Learning
NIPS-2013 Workshop
Tuesday, December 10, 2012
Lake Tahoe, Nevada, US
https://sites.google.com/site/resefml2013
----------------------------------------------
We invite submission of abstracts and open problems to Resource-Efficient Machine Learning NIPS-2013 workshop.
IMPORTANT DATES
Submission Deadline: October 9.
Notification of Acceptance: October 23.
More details are provided below.
-----------------------------------------------
Abstract

CfP: NIPS 2013 Workshop on Machine Learning Open Source Software: Towards Open Workflows

Posted by Rebecca Martin on Wed, 28/08/2013 - 10:18

Call for Contributions

Workshop on Machine Learning Open Source Software 2013:
Towards Open Workflows
http://mloss.org/workshop/nips13/

at NIPS 2013, Lake Tahoe, Nevada, United States,
9th or 10th December, 2013

CfP -- NIPS Workshop on Spectral Learning

Posted by Rebecca Martin on Wed, 28/08/2013 - 10:18

Call for Papers: Workshop on Spectral Learning -- NIPS 2013 December 9 or 10, Lake Tahoe (NV), USA
Website: http://sites.google.com/site/spectrallearningworkshop/

Many problems in machine learning involve collecting high-dimensional multivariate observations or sequences of observations, and then fitting a compact model which explains these observations. Recently, linear algebra techniques have given a fundamentally different perspective on how to fit and perform inference in these models.

Syndicate content