Location: Conferences » Other » Carnegie Mellon Machine Learning Lunch seminar

event thumbnail image

Carnegie Mellon Machine Learning Lunch seminar

Efficient Parallel Learning of Linear Dynamical Systems on SMPs

author:Lei Li, Computer Science Department, Carnegie Mellon University
published: March 29, 2009, recorded: October 2008, views: 66

Turn off the lights

You might be experiencing some problems with Your Video player.

See Also:

Launch Windows Media Player Launch in a standalone WM Player

WMedia Player Switch to Windows Media Player

Help icon Streaming Video Help

WebLink icon Windows Media Player Firefox Plugin - Download

Related content

Visitors who watched this lecture also watched...

Rare Category Detection for Spatial Data
224 views - Jingrui He, 2008

Some Challenging Machine Learning Problems in Computational Biology: Time-Varying Networks Inference and Sparse Structured Input-Out Learning
298 views - Eric P. Xing, 2008

Partially Observed Maximum Entropy Discrimination Markov Networks
123 views - Jun Zhu, 2008

Feature Selection via Block-Regularized Regression
211 views - Seyoung Kim, 2008

Fast Direction-Aware Proximity for Graph Mining
282 views - Hanghang Tong, 2007

Weighted Graphs and Disconnected Components: Patterns and a Generator
122 views - Mary McGlohon, 2008

Fast Best-Effort Pattern Matching in Large Attributed Graphs
294 views - Hanghang Tong, 2007

Differentiable Sparse Coding
142 views - David Bradley, 2008

Lectures on Clustering
5741 views - Ulrike von Luxburg, 2007

Learning Patterns of the Brain: Machine Learning Challenges of fMRI Analysis
411 views - Mark Palatucci, 2008

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

Comment
Name
Email address
URL

make sure you have javascript enabled or clear this field: