[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Pointer to Geoff Hinton lJCAI research excellence award lecture..
- To: cse471-f06@parichaalak.eas.asu.edu
- Subject: Pointer to Geoff Hinton lJCAI research excellence award lecture..
- From: "Subbarao Kambhampati" <rao@asu.edu>
- Date: Sun, 26 Nov 2006 10:37:32 -0700
- Domainkey-signature: a=rsa-sha1; q=dns; c=nofws; s=beta; d=gmail.com; h=received:message-id:date:from:sender:to:subject:mime-version:content-type:x-google-sender-auth; b=rWo3G6MTwuy4iLF+cHeqdKkrlQ4KRo5wktPFdB481hF/tElNJQoILoKoHQaCXM9+wSFO3LQCKJjyfsWGeOQC1/qs+Mk2ZlZUlUgTfR1WCpvaW9Ib06gPb9B0Zi2+IsmTH7+jkfgBKu2sOz1Fkob7zV8JVZTFgm6BjcQ+fedQJaU=
- Sender: subbarao2z2@gmail.com
Folks
On Wednesday's make-up class, I mentioned that Geoff Hinton is foremost among the people working on brain-inspired neural networks (there isn't that much work on neural nets in the ML community these days because you can get by with max-margin kernel classifiers instead of multi-layer neural nets. However, understanding the training of multi-layer and recurrent nets does offer the possibility of understanding how human brain works).
Anyways, I mentioned Hinton's research excellence award lecture at IJCAI last year. Here is a link to his slides (he calls this version the
"gentle/after-dinner version" of his talk.
http://www.cs.toronto.edu/~hinton/talks/gentle.ppt
(The other versions of the talk can be found at http://www.cs.toronto.edu/~hinton/talks.html )
enjoy..
Rao