Joung Taek Yoon

Control and Systems Engineering · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joung Taek Yoon trusts overall

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

  1. Mark Schwabacher

Who trusts Joung Taek Yoon overall

  1. Zhen Hu
  2. Xiaoping Du

Papers from Joung Taek Yoon's perspective

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

  1. Neural Networks for Pattern Recognition
  2. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  3. The Strength of Weak Learnability
  4. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  5. Ensemble of surrogates
  6. A tutorial on support vector regression
  7. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  8. When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
  9. Ensemble of metamodels with optimized weight factors
  10. Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance

Their papers