NIPS Proceedingsβ

Trevor Hastie

9 Papers

  • Compressive Feature Learning (2013)
  • Independent Components Analysis through Product Density Estimation (2002)
  • Kernel Logistic Regression and the Import Vector Machine (2001)
  • Learning and Tracking Cyclic Human Motion (2000)
  • Optimal Kernel Shapes for Local Linear Regression (1999)
  • Classification by Pairwise Coupling (1997)
  • The Error Coding and Substitution PaCTs (1997)
  • Discriminant Adaptive Nearest Neighbor Classification and Regression (1995)
  • Learning Prototype Models for Tangent Distance (1994)