NIPS Proceedingsβ

Gunnar Rätsch

16 Papers

  • Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation (2011)
  • An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis (2008)
  • Boosting Algorithms for Maximizing the Soft Margin (2007)
  • Large Scale Hidden Semi-Markov SVMs (2006)
  • A General and Efficient Multiple Kernel Learning Algorithm (2005)
  • Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection (2004)
  • Image Reconstruction by Linear Programming (2003)
  • Adapting Codes and Embeddings for Polychotomies (2002)
  • Active Learning in the Drug Discovery Process (2001)
  • A New Discriminative Kernel From Probabilistic Models (2001)
  • On the Convergence of Leveraging (2001)
  • A Mathematical Programming Approach to the Kernel Fisher Algorithm (2000)
  • Invariant Feature Extraction and Classification in Kernel Spaces (1999)
  • v-Arc: Ensemble Learning in the Presence of Outliers (1999)
  • Kernel PCA and De-Noising in Feature Spaces (1998)
  • Regularizing AdaBoost (1998)