E. Breves

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Statistical Learning Theory — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom E. Breves trusts

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

1. Chih-Jen Lin (in Artificial Intelligence)
2. Christopher K. I. Williams (in Statistical Learning Theory)
3. Eric R. Ziegel (in Artificial Intelligence)
4. Leo Breiman (in Evaluation & Benchmarks)
5. Max Kuhn (in Analytical Chemistry)

Papers from E. Breves's perspective

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

1. LIBSVM: A library for support vector machines
2. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
3. The Elements of Statistical Learning
4. LIBLINEAR: A Library for Large Linear Classification
5. Bagging Predictors
6. Scikit-learn: Machine Learning in Python
7. R: A language and environment for statistical computing.
8. Individual Comparisons by Ranking Methods
9. Building Predictive Models in R Using the caret Package
10. Principal Component Analysis

Their papers

• A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy (2015) — 139 citations