Young-Ji Byon

Control and Systems Engineering · 2013

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

Subfields

Whom Young-Ji Byon trusts overall

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

  1. Vladimir Naumovich Vapni
  2. William S. Cleveland
  3. Weizhong Zheng
  4. Chun-Hsin Wu
  5. Kit Yan Chan

Who trusts Young-Ji Byon overall

  1. Zheng Fang
  2. Shengna Guo

Papers from Young-Ji Byon's perspective

Ordered by how strongly the researchers Young-Ji Byon trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting
  2. Comparison of parametric and nonparametric models for traffic flow forecasting
  3. Short-term freeway traffic flow prediction : Bayesian combined neural network approach
  4. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
  5. The Nature of Statistical Learning Theory
  6. Incremental and Decremental Support Vector Machine Learning
  7. The Elements of Statistical Learning
  8. Travel-time prediction with support vector regression (IEEE transactions on intelligent transportation systems (Print))
  9. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (Expert systems with applications)
  10. Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (IEEE transactions on intelligent transportation systems (Print))

Their papers