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ICML 2010 – Accepted Papers

四月 24th, 2010

南大Zhi-Hua Zhou一篇,交大Yong Yu一篇。

The following 152 papers have been accepted:

  • 16: Large Graph Construction for Scalable Semi-supervised Learning
    Wei Liu, Junfeng He, Shih-Fu Chang
  • 23: Boosting Classifiers with Tightened L0-Relaxation Penalties
    Noam Goldberg, Jonathan Eckstein
  • 26: Variable Selection in Model-Based Clustering: To Do or To Facilitate
    Leonard Poon, Nevin Zhang, Tao Chen, Yi Wang
  • 28: Modeling Interaction via the Principle of Maximum Causal Entropy
    Brian Ziebart, Drew Bagnell, Anind Dey
  • 35: Multi-Task Learning of Gaussian Graphical Models
    Jean Honorio, Luis Ortiz, Dimitris Samaras
  • 45: Spherical Topic Models
    Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond Mooney
  • 52: Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
    Gavin Taylor, Marek Petrik, Ron Parr, Shlomo Zilberstein
  • 76: Multi-agent Learning Experiments on Repeated Matrix Games
    Bruno Bouzy, Marc Métivier
  • 77: Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
    Tobias Lang, Marc Toussaint Read more…

Machine learning