Ya-ling Luo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ya-ling Luo trusts overall

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

  1. Ron Kohavi
  2. Ji-Hyun Kim

Papers from Ya-ling Luo's perspective

Ordered by how strongly the researchers Ya-ling Luo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  3. Induction of decision trees
  4. Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
  5. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease (Digit. Signal Process.)
  6. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap (Computational Statistics & Data Analysis)
  7. C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993
  8. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
  9. A tutorial on Principal Components Analysis
  10. Diagnosis and Classification of Diabetes Mellitus (Diabetes Care)

Their papers