WhatToSee

Index of JMLR Vol 1

• Bayes Point Machines
• Dep endency Networks for Inference, Collab orative Filtering, and Data Visualization
• Lagrangian Supp ort Vector Machines
• Learning with Mixtures of Trees
• Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms
• Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
• Regularized Principal Manifolds
• SVMTorch: Support Vector Machines for Large-Scale Regression Problems