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
- Statistics and Probability — 5 citations into it
Whom K. Muller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
- Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
- Eigenvalues of large sample covariance matrices of spiked population models
- Random matrix approach to cross correlations in financial data. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- On the capacity of multi-antenna Gaussian channels (Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252))
- Introduction to Support Vector Machines
- Kernel independent component analysis
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- On the distribution of the largest eigenvalue in principal components analysis
- Convolution kernels on discrete structures
Their papers
- The high-dimension, low-sample-size geometric representation holds under mild conditions (2007) — 183 citations