Yaniv Fogel

2019

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

Whom Yaniv Fogel trusts overall

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

1. Vladimir Naumovich Vapnik

Papers from Yaniv Fogel's perspective

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

1. Ridge Regression: Biased Estimation for Nonorthogonal Problems
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. An Introduction to Statistical Learning
4. VC dimension of neural networks
5. Principles of Risk Minimization for Learning Theory
6. Estimating the Dimension of a Model
7. Subset Selection in Regression
8. Information Theory and an Extension of the Maximum Likelihood Principle
9. Statistical predictor identification
10. Neural Networks for Pattern Recognition

Their papers

• A New Look at an Old Problem: A Universal Learning Approach to Linear Regression (2019) — 36 citations