Julien Audiffren

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Statistical Learning Theory — 15 citations into it
• Statistics and Probability — 15 citations into it
• Computational Mechanics — 10 citations into it
• Applied Mathematics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Julien Audiffren trusts overall

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

1. Frédéric Ferraty

Papers from Julien Audiffren's perspective

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

1. The Elements of Statistical Learning
2. Theory of Reproducing Kernels.
3. Spline Models for Observational Data
4. Stability and Generalization
5. A Model of Inductive Bias Learning
6. Kernel Methods for Pattern Analysis
7. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
8. On Learning Vector − Valued Functions
9. VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM
10. Regularized multi--task learning

Their papers

• Operator-valued Kernels for Learning from Functional Response Data (2015) — 154 citations