Kuo-Ching Ying

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kuo-Ching Ying trusts overall

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

  1. David E. Goldberg
  2. Vladimir Naumovich Vapni

Who trusts Kuo-Ching Ying overall

  1. Bing Xue
  2. Abdulhamit Subasi
  3. Marc Claesen
  4. Gehad Ismail Sayed
  5. Mengjie Zhang
  6. Varun Ojha
  7. Ningshan Chen
  8. Iwan Syarif
  9. Yufei Xia
  10. Hongpeng Yin

Papers from Kuo-Ching Ying's perspective

Ordered by how strongly the researchers Kuo-Ching Ying trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Genetic Algorithms in Search Optimization and Machine Learning
  3. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods
  4. Interpolation of scattered data: Distance matrices and conditionally positive definite functions
  5. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  6. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  7. Marvin Minsky, The Society of Mind
  8. Handbook Of Genetic Algorithms
  9. Subset Selection in Regression
  10. Introduction to the theory of neural computation

Their papers