[Lisa_seminaires] Fwd: UdeM-McGill-MITACS machine learning seminar Tue Oct. 26 at 14h00, AA-3195

Dumitru Erhan erhandum at iro.umontreal.ca
Lun 25 Oct 14:36:23 EDT 2010


Reminder for tomorrow's talk!

---------- Forwarded message ----------
From: Dumitru Erhan <erhandum at iro.umontreal.ca>
Date: Sat, Oct 23, 2010 at 13:44
Subject: UdeM-McGill-MITACS machine learning seminar Tue Oct. 26 at 14h00,
AA-3195
To: lisa_seminaires at iro.umontreal.ca


The UdeM-McGill-MITACS machine learning seminar
series<http://www.iro.umontreal.ca/article.php3?id_article=107&lang=en>is
continuing its fall schedule. Next week's seminar:

*Sequence Processing with Recurrent Neural Networks
*
by Alex Graves
Technische Universität München, Germany

Location: Pavillon André-Aisenstadt (UdeM), room AA-3195
Time: Tuesday, October 26, *14:00*

Abstract: The need to label, predict, model or otherwise process sequential
data arises in many domains. Some obvious examples are speech and
handwriting recognition, inferring protein structure from amino acid
sequences, and making predictions about the stock market or the weather.
Although the tasks and data vary greatly, certain properties seem to be
universally beneficial for sequence processing algorithms. In particular the
ability to 'remember' the context surrounding each point in the data
sequence, and the ability to generalise to distorted versions of sequential
patterns appear to be crucial. Recurrent neural networks are a promising
architecture in this regard. Furthermore, they can be generalised to treat
spatial, as well as temporal, dependencies in a sequential way, expanding
the range of applicability to data such as images, video, and medical scans.
This talk presents a generic framework for processing spatio-temporal data
using recurrent neural networks, and shows how the framework can be tailored
to specific tasks.



-- 
http://dumitru.ca, +1-514-432-8435
-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://webmail.iro.umontreal.ca/mailman/private/lisa_seminaires/attachments/20101025/8835b567/attachment.html 


Plus d'informations sur la liste de diffusion Lisa_seminaires