Yale Chang
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Statistics and Probability — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Yale Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yale Chang's perspective
Ordered by how strongly the researchers Yale Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Measuring Statistical Dependence with Hilbert-Schmidt Norms
- Density Estimation for Statistics and Data Analysis
- An Introduction to Variable and Feature Selection
- Estimating mutual information.
- Wrappers for Feature Subset Selection
- On Brownian Distance Covariance and High Dimensional Data
- Gene Selection for Cancer Classification using Support Vector Machines
- Estimation of Entropy and Mutual Information
- Supervised feature selection via dependence estimation
Their papers
- A Robust-Equitable Measure for Feature Ranking and Selection (2017) — 49 citations