Log in | Register | English language  
New User
Register
Sign in
  • Home
  • Browse Lectures
  • People
  • Conferences
  • Academic Organisations
  • EU Supported
  • About Us
David Siklosi
organization:Computer and Automation research institute, Hungarian Academy of Science, http://www.sztaki.hu/
search externally:   Google Schoolar,   Springer,   CiteSeer,   Live Search Academic,   Scirus ,   DBlife


Lecture:

68 views, 19:53  
lecture
Semi-Supervised Learning: A Comparative Study for Web Spam and Telephone User Churn

as author at   The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD),
68 views
 		 

EDITOR’S PICKS

  • The End of the Ubicomp World is Near, My Friend - Pertti Huuskonen
  • Robotics and Mechatronics - From Space to Surgery and the Virtual World - Gerd Hirzinger
  • Lecture 11: Work - Kinetic Energy - Potential Energy - Conservative Forces - Conservation of Mechanical Energy - Newton's Law of Universal Gravitation - Walter H. G. Lewin
  • Karl Deutsch Award Lecture - Giovanni Sartori

SINGLES COLLECTION

  • Immunization Hesitancy: A Rising Tide that Challenges the Public Health - Edgar K. Marcuse
  • Evolution in Four Dimensions - Eva Jablonka
  • On The History of Ugliness - Umberto Eco
  • LHC machine status - Lyn Evans
  • L´oeil absolu et le monde sans limite / The universal eye and a limitless world - Gérard Wajcman country_flag

TOP PROJECTS

  • PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning
  • MIT OpenCourseWare
  • CERN - European Organization for Nuclear Research
  • Stanford Engineering Everywhere
  • Open Yale Courses - Yale University
  • Filozofska fakulteta Univerze v Ljubljani

INFO

E-mail:
info@videolectures.net

Phone:
+386 1 477 31 48

/site/media/vln/facebook.png/site/media/vln/twitter.png/site/media/vln/rss.png
Copyright © 2010 VideoLectures.Net
Unless otherwise noted, all content is released under the
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0