K. Muller

Statistics and Probability · 2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Muller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jinho Baik
  2. Nello Cristianini

Papers from K. Muller's perspective

Ordered by how strongly the researchers K. Muller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  2. Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
  3. Eigenvalues of large sample covariance matrices of spiked population models
  4. Random matrix approach to cross correlations in financial data. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  5. On the capacity of multi-antenna Gaussian channels (Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252))
  6. Introduction to Support Vector Machines
  7. Kernel independent component analysis
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. On the distribution of the largest eigenvalue in principal components analysis
  10. Convolution kernels on discrete structures

Their papers