CFP+Extended Deadline : Asian Conference on Machine Learning 2013

Posted by Rebecca Martin on Mon, 22/07/2013 - 09:31

Call for Submissions: Asian Conference on Machine Learning 2013
Note: submission deadline extended one week to 31st July!

BioASQ challenge - call for participation in new task batches

Posted by Rebecca Martin on Mon, 15/07/2013 - 10:10

BioASQ challenge on large-scale biomedical semantic indexing and question answering (BioASQ workshop after CLEF 2013 in Valencia, Spain on September 27,
2013)

Web site: http://bioasq.org/
twitter: https://twitter.com/bioasq

The third batch of Task 1A (biomedical semantic indexing) and the second batch of Task 1B (biomedical question answering) will start on Monday July 15 and Wednesday July 17, respectively.
Task 1A is related to:
* hierarchical text classification,
* semantic annotation of text.
Task 1B is related to:

2 funded joint PhD studentships in Statistical Science at University College London, UK and A*STAR, Singapore

Posted by Rebecca Martin on Wed, 10/07/2013 - 11:30

2 funded joint PhD studentships in Statistical Science at University College London, UK and A*STAR, Singapore

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Duration of studentships: 3.5 years
Stipend: £15,590 per annum in year 1
Closing date: Applications will be considered on a rolling basis until the studentships are filled or until final deadline of 31st July 2013 is reached.

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Computational modelling: from neurons to systems and behaviour, 11-13 September, Sheffield, UK

Posted by Rebecca Martin on Wed, 10/07/2013 - 10:57

Computational modelling: from neurons to systems and behaviour
3rd NAMASEN Training Workshop, Sheffield, UK
11-13 September 2013

NAMASEN (http://www.namasen.net/) is a multi-disciplinary Initial Training Network (ITN) funded under the EU FP7 Marie Curie Actions. Its 3rd workshop, hosted by the University of Sheffield, UK, is open to PhD students and researchers and will focus on theory and models in Neuroscience.

Hollywood 3D: A dataset for 3D action recognition in the wild

Posted by Rebecca Martin on Wed, 10/07/2013 - 10:56

A new dataset for “in the wild” action recognition has been released. The dataset is based on sequences taken from 3D movies, and comprises of 650 examples, across 14 action classes. There are plans to increase the size of the dataset further when additional 3D movies are available. http://personal.ee.surrey.ac.uk/Personal/S.Hadfield/hollywood3d.php

Each example in the dataset is well localized in time, and consists of a left viewpoint video, a right viewpoint video, and a reconstructed disparity video.

Workshop on New Learning Frameworks and Models for BigData - Submission deadline: 07/30/2013

Posted by Rebecca Martin on Mon, 08/07/2013 - 12:52

Forwarded on behalf of Massih-Reza Amini

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Workshop on New Learning Frameworks and Models for BigData - Submission deadline: 07/30/2013
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Workshop at IEEE international conference on BigData 6 October 2013, Silicon Valley, USA

URL:http://ama.liglab.fr/ieeeBigDataWorkshop/

Important Dates
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*****Workshop paper submission deadline: July 30, 2013
*****Workshop paper acceptance notification: August 20, 2013

Special Issue CFP (Deadline Approaching): Machine Learning for Feature Extraction and Classification in EEG-Based BCIs

Posted by Rebecca Martin on Mon, 08/07/2013 - 12:38

http://www.hindawi.com/journals/cmmm/si/312180/cfp/
Machine Learning for Feature Extraction and Classification in EEG-Based Brain-Computer Interfaces
Call for Papers

Postdocs and Research Programmer for Compositional Learning via Generalized Automatic Differentiation

Posted by Rebecca Martin on Mon, 08/07/2013 - 12:34

We are adding exact first-class derivative calculation operators (Automatic Differentiation or AD) to the lambda calculus, and embodying the combination in a production-quality fast system suitable for numeric computing in general, and compositional machine learning methods in particular. To the programming language community, we seek to contribute a way to make numeric software faster, more robust, and easier to write.

PhD: Industrial CASE PhD Studentship: Prognosis for Gas Turbine Engine Health

Posted by Rebecca Martin on Mon, 08/07/2013 - 12:18

PhD: Industrial CASE PhD Studentship: Prognosis for Gas Turbine Engine Health Management in collaboration with Rolls-Royce plc.

Funding: Full EPSRC studentship for 3.5 years (currently ~£67,443) with 6 month Industrial placement

PhD position in machine learning, University of Helsinki, Finland

Posted by Rebecca Martin on Mon, 08/07/2013 - 11:39

The Helsinki Institute for Information Technology HIIT and the Department of Computer Science are offering a fully-funded position for

DOCTORAL STUDENT IN MACHINE LEARNING

at University of Helsinki, Finland. The candidate will be working on a long-term project titled "Traces of Information: Intelligence from fragmented data" with Academy Research Fellow Arto Klami, as part of the Complex Systems Computation (CoSCo) group (http://www.hiit.fi/cosco).

DESCRIPTION:

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