Ying Lu

Statistical Learning Theory · with Song · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Lu trusts overall

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

  1. Niko Speybroeck
  2. Klaus Nordhausen
  3. Steven L. Salzberg
  4. Trevor J. Hastie
  5. Wei-Yin Loh
  6. Jerome H. Friedman
  7. Alberto Maria Segre

Who trusts Ying Lu overall

  1. Bahzad Charbuty
  2. Ankit Thakkar
  3. Hodjat Shirmard
  4. Adnan Mohsin Abdulazeez
  5. Ritika Lohiya

Papers from Ying Lu's perspective

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

  1. SPLIT SELECTION METHODS FOR CLASSIFICATION TREES
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. An Exploratory Technique for Investigating Large Quantities of Categorical Data
  4. C4.5: Programs for Machine Learning (書評)
  5. Classification and regression trees
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  7. Programs for Machine Learning
  8. Fifty Years of Classification and Regression Trees
  9. Regression Shrinkage and Selection via the Lasso
  10. Bagging Predictors

Their papers