I. J. Schoenberg Professor

Artificial Intelligence · 2002

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Statistical Learning Theory — 6 citations into it; #685 of 1,038 by trust here, #519 by citations

Whom I. J. Schoenberg Professor trusts overall

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

1. Yi Lin
2. Grace Wahba
3. C. Burges
4. Vladimir Naumovich Vapni
5. Yuhai Wu
6. Thorsten Joachims
7. Trevor J. Hastie

Who trusts I. J. Schoenberg Professor overall

1. Jieping Ye
2. Ping Li

Papers from I. J. Schoenberg Professor's perspective

Ordered by how strongly the researchers I. J. Schoenberg Professor trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. A training algorithm for optimal margin classifiers
3. Spline Models for Observational Data
4. Statistical Learning Theory
5. Advances in kernel methods: support vector learning
6. Feature Selection via Concave Minimization and Support Vector Machines
7. Classification by Pairwise Coupling
8. On the Influence of the Kernel on the Consistency of Support Vector Machines
9. Reducing multiclass to binary: a unifying approach for margin classifiers
10. Introduction to Support Vector Machines

Their papers

• Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data (2002)