Kaiyang Qu

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 Kaiyang Qu trusts overall

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

  1. Ron Kohavi
  2. Ji-Hyun Kim
  3. Kemal Polat

Who trusts Kaiyang Qu overall

  1. Bahzad Charbuty

Papers from Kaiyang Qu's perspective

Ordered by how strongly the researchers Kaiyang Qu 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. Classification and Regression by randomForest
  7. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap (Computational Statistics & Data Analysis)
  8. C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993
  9. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
  10. A tutorial on Principal Components Analysis

Their papers