Tzu-Tsung Wong

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Tzu-Tsung Wong trusts overall

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

  1. Thomas G. Dietterich
  2. Leo Breiman
  3. Ron Kohavi
  4. Juan Diego Rodríguez
  5. Ji-Hyun Kim
  6. Jerome H. Friedman
  7. Miroslav Kubat
  8. Chet Langin
  9. Ashok N. Srivastava
  10. Ian H. Witten

Who trusts Tzu-Tsung Wong overall

  1. Milica M. Badža
  2. Md Maruf Hossain Shuvo
  3. Wengang Zhang
  4. Marko Barjaktarovic
  5. Anshuka Anshuka
  6. Syed Kamrul Islam
  7. S. Yadav
  8. Runhong Zhang
  9. Chongzhi Wu
  10. Jianlin Cheng

Papers from Tzu-Tsung Wong's perspective

Ordered by how strongly the researchers Tzu-Tsung Wong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  2. Heuristics of instability and stabilization in model selection
  3. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  4. Data Mining Practical Machine Learning Tools and Techniques
  5. Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation (IEEE Transactions on Neural Networks and Learning Systems)
  6. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  7. Statistical Inference
  8. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap (Computational Statistics & Data Analysis)
  9. Data Mining: Practical Machine Learning Tools and Techniques, 3/E
  10. Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation (Pattern Recognition)

Their papers