FUN in S&T

Sunday, April 17, 2011

Combining Learning Strategies to Reduce Label Cost: ICML 2011 Workshop

Combining Learning Strategies to Reduce Label Cost: ICML 2011 Workshop
Posted by VV at 5:32 PM
Email ThisBlogThis!Share to XShare to FacebookShare to Pinterest

No comments:

Post a Comment

Newer Post Older Post Home
Subscribe to: Post Comments (Atom)

Welcome! Other Links

http://alg-code.blogspot.com/

Labels

  • Active Learning (2)
  • AI (1)
  • BOOK (1)
  • Bookmark (1)
  • Brain Teasers (1)
  • Conference (2)
  • Data Mining (2)
  • IR (1)
  • Large Scale (1)
  • LibSVM (1)
  • Machine Learning (6)
  • MapReduce (1)
  • Matlab (1)
  • NLP (2)
  • NLPS (1)
  • nltk (5)
  • NPL (1)
  • Python (7)
  • Reinforcement Learning (1)
  • Share (1)
  • Software (1)

Search This Blog
Locations of visitors to this page

Total Pageviews

Subscribe To

Posts
Atom
Posts
Comments
Atom
Comments

Blog Archive

  • ▼  2011 (246)
    • ►  June (7)
    • ►  May (8)
    • ▼  April (23)
      • Reinforcement Learning / Successes of Reinforcemen...
      • Measuring Measures - Measuring Measures - Learning...
      • Classifier Showdown « Synaptic
      • Ninth Workshop on Mining and Learning with Graphs ...
      • Stanford School of Engineering - Stanford Engineer...
      • math - Mathematics for AI/Machine learning ? - Sta...
      • algorithm - Help Understanding Cross Validation an...
      • Text-learning Group - Resources
      • Notes on Path Finding problem
      • Combining Learning Strategies to Reduce Label Cost...
      • Regularization for high dimensional learning Course
      • Exploration & Exploitation Challenge | Machine Lea...
      • Bayesian Modelling Applications Workshop
      • Welcome to Social Web Mining Workshop, co-located ...
      • KDD 2011: 17th ACM SIGKDD Conference on Knowledge ...
      • SWSM 2011
      • ICML 2011 Structured Sparsity: Learning and Infere...
      • Welcome to Social Web Mining Workshop, co-located ...
      • Louhi 2011
      • 2011 IEEE GRSS Data Fusion Contest
      • Greg Mankiw's Blog: Advice for Grad Students
      • Bryce Boe » Dynamic Programming – Coin Change Prob...
      • Books for Reinforcement Learning:
    • ►  March (35)
    • ►  February (57)
    • ►  January (116)
  • ►  2010 (27)
    • ►  December (27)

Popular Posts

  • NetBeans UserDir Setup
    The configuration of NetBeans, to change the cache file of NetBean to userdir, in order to prevent overload of allocated profile [ Proble...
  • Interactive Activation & Competition (Built with Processing)
    Interactive Activation & Competition (Built with Processing)
  • Machine Learning 大家
    From  HERE .　 　　 Machine Learning 大家(1)：M. I. Jordan 　　 　　在我的眼里，M Jordan无疑是武林中的泰山北斗。他师出MIT，现在在berkeley坐镇一方，在附近的两所名校（加stanford）中都可以说无出其...
  • My Linux: Converting PDF to .doc
    My Linux: Converting PDF to .doc
  • Data visualization tools for Linux
    Data visualization tools for Linux A quick look at six open source graphics utilities M. Tim Jones ( mtj@mtjones.com ), Senior Pri...
  • Math Forum - Ask Dr. Math
    Math Forum - Ask Dr. Math inf means "infimum," or "greatest lower bound." This is slightly different from minimum in...
  • pylab_examples example code: line_styles.py — Matplotlib v1.0.1 documentation
    pylab_examples example code: line_styles.py
  • Stat 375 – Inference in Graphical Models
    Stat 375 Stat 375 – Inference in Graphical Models Andrea Montanari , Stanford University, Winter 2011 Graphical models are a unifying frame...
  • Graph Theory Lessons
    Graph Theory Lessons By Dr. Christopher P. Mawata Lesson 1: Null graphs Lesson 2: Handshaking Lemma Lesson 3: Isomorphism Lesson 4: Comp...
  • Color Proportion & Intensity
    Color Proportion & Intensity
Awesome Inc. theme. Theme images by konradlew. Powered by Blogger.

Followers