F. Güiza

2009

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

Whom F. Güiza trusts overall

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

1. Trevor J. Hastie

Papers from F. Güiza's perspective

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

1. Random Forests
2. Pattern Recognition and Machine Learning
3. Intensive insulin therapy in critically ill patients. (New England Journal of Medicine)
4. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
5. Bayesian networks in biomedicine and health-care (Artif. Intell. Medicine)
6. Elements of Machine Learning
7. Bagging Predictors
8. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
9. Shape Quantization and Recognition with Randomized Trees
10. Boosting the margin: A new explanation for the effectiveness of voting methods

Their papers

• Machine learning techniques to examine large patient databases. (2009) — 120 citations