Min-Chan Shim

Expert systems with applications · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Min-Chan Shim trusts overall

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

  1. Christopher K. I. Williams
  2. P. Ramírez
  3. Joshua S. Richman

Who trusts Min-Chan Shim overall

  1. Xiaosong Hu
  2. Lifeng Wu
  3. Jufeng Yang

Papers from Min-Chan Shim's perspective

Ordered by how strongly the researchers Min-Chan Shim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  2. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  3. Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
  4. The Nature of Statistical Learning Theory
  5. Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework
  6. The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study
  7. The Nature of Statistical Learning
  8. Bayesian Interpolation
  9. Learning Multiple Layers of Features from Tiny Images
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers