J. A. Vilán Vilán

Statistical Learning Theory · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom J. A. Vilán Vilán trusts overall

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

1. Simon S. Haykin
2. Christopher K. I. Williams
3. Jiju Antony
4. Jiawei Han
5. Stuart Barber

Who trusts J. A. Vilán Vilán overall

1. Ali Emadi
2. P. Kollmeyer

Papers from J. A. Vilán Vilán's perspective

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

1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
2. Pattern Recognition and Machine Learning
3. Kernel Methods for Pattern Analysis
4. The Elements of Statistical Learning
5. Statistical learning theory
6. Support vector machines
7. Data Mining: Concepts and Techniques
8. Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
9. Neural Networks: A Comprehensive Foundation
10. Neural Networks and Learning Machines

Their papers

• Support Vector Machines Used to Estimate the Battery State of Charge (2013) — 434 citations
• The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process (2010) — 67 citations