NIPS Proceedingsβ

Daphne Koller

22 Papers

  • Shifting Weights: Adapting Object Detectors from Image to Video (2012)
  • Active Classification based on Value of Classifier (2011)
  • Self-Paced Learning for Latent Variable Models (2010)
  • Learning a Small Mixture of Trees (2009)
  • Region-based Segmentation and Object Detection (2009)
  • Cascaded Classification Models: Combining Models for Holistic Scene Understanding (2008)
  • Shape-Based Object Localization for Descriptive Classification (2008)
  • Efficient Structure Learning of Markov Networks using $L_1$-Regularization (2006)
  • Max-margin classification of incomplete data (2006)
  • Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks (2006)
  • Using Combinatorial Optimization within Max-Product Belief Propagation (2006)
  • Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale (2004)
  • The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces (2004)
  • Link Prediction in Relational Data (2003)
  • Max-Margin Markov Networks (2003)
  • Multiagent Planning with Factored MDPs (2001)
  • Probabilistic Abstraction Hierarchies (2001)
  • Active Learning for Parameter Estimation in Bayesian Networks (2000)
  • Discovering Hidden Variables: A Structure-Based Approach (2000)
  • Policy Search via Density Estimation (1999)
  • Reinforcement Learning Using Approximate Belief States (1999)
  • Approximate Learning of Dynamic Models (1998)

    • 2 Books

  • Advances in Neural Information Processing Systems 21 (2008)
  • Advances in Neural Information Processing Systems 20 (2007)