Uma-Naresh Niranjan

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistical Learning Theory — 9 citations into it
• Statistics and Probability — 6 citations into it

Whom Uma-Naresh Niranjan trusts overall

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

1. Bernhard Schölkopf

Who trusts Uma-Naresh Niranjan overall

1. Ju Sun
2. Thierry Bouwmans
3. Nicolas Gillis
4. Ruoyu Sun
5. Rong Ge
6. Namrata Vaswani

Papers from Uma-Naresh Niranjan's perspective

Ordered by how strongly the researchers Uma-Naresh Niranjan trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Learning with Kernels: support vector machines, regularization, optimization, and beyond
3. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
4. Theory of Reproducing Kernels.
5. The connection between regularization operators and support vector kernels
6. Machine learning for medical diagnosis: history, state of the art and perspective
7. Machine learning in automated text categorization
8. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
9. An introduction to kernel-based learning algorithms
10. Asymptotic statistical theory of overtraining and cross-validation

Their papers

• Non-convex Robust PCA (2014) — 299 citations
• Understanding Machine-learned Density Functionals (2014) — 164 citations