Home /  Workshop /  Schedules /  An efficient universal prediction algorithm for unknown sources with limited training data

An efficient universal prediction algorithm for unknown sources with limited training data

Information Theory February 25, 2002 - March 01, 2002

February 26, 2002 (11:30 AM PST - 12:30 PM PST)
Speaker(s): Jacob Ziv
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Video

194-866-An Efficient Universal Prediction Algorithm for Unknown Sources with Limited Training Data-Jacob Ziv

Abstract No Abstract Uploaded
Supplements
Asset no preview ziv.pdf 164 KB application/pdf Download
Video/Audio Files

194-866-An Efficient Universal Prediction Algorithm for Unknown Sources with Limited Training Data-Jacob Ziv

H.264 Video 194-866-An_Efficient_Universal_Prediction_Algorithm_for_Unknown_Sources_with_Limited_Training_Data-Jacob_Ziv.mp4 49.3 MB video/mp4 Download
194-866-An_Efficient_Universal_Prediction_Algorithm_for_Unknown_Sources_with_Limited_Training_Data-Jacob_Ziv.rm 17.6 MB application/vnd.rn-realmedia Download
Troubles with video?

Please report video problems to itsupport@slmath.org.

See more of our Streaming videos on our main VMath Videos page.