Dookie Kim

Environmental Engineering · 2000–2016

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dookie Kim trusts overall

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

  1. David John Cameron MacKay
  2. James O. Berger
  3. Simon S. Haykin
  4. Jerome H. Friedman
  5. Charles M. Bishop
  6. Peter Craven
  7. MohammadSajjad Khan
  8. George Eastman House
  9. C. Sivapragasam
  10. Pijush Samui

Who trusts Dookie Kim overall

  1. Ravinesh C. Deo

Papers from Dookie Kim's perspective

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

  1. Smoothing noisy data with spline functions
  2. Neural Networks: A Comprehensive Foundation
  3. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks
  4. Statistical Decision Theory and Bayesian Analysis, Second Edition
  5. Statistical Learning Theory
  6. Application of Support Vector Machine in Lake Water Level Prediction
  7. Variational Relevance Vector Machines (Conference on Uncertainty in Artificial Intelligence)
  8. Multivariate adaptive regression splines
  9. An evolutionary approach for modeling of shear strength of RC deep beams
  10. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…

Their papers