Alexander Johannes Smola

Research topics

• Neural Networks and Applications · 2 papers
• Image and Signal Denoising Methods · 1 paper
• Blind Source Separation Techniques · 1 paper

Frequent co-authors

• Bernhard Schölkopf · 2 papers
• Klaus‐Robert Müller · 1 paper

Papers

1. Learning with KernelsThe MIT Press eBooks · 2001 · 11,841 citations

   A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new…

2. Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation · 1998 · 8,176 citations

   A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, related to input space by some nonlinear map—for…