Yeong-Jia Goo

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yeong-Jia Goo trusts overall

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

  1. Vladimir Naumovich Vapni
  2. C. Anderson‐Cook
  3. Ingo Steinwart
  4. Corinna Cortes
  5. Jae H. Min
  6. H. Platt

Papers from Yeong-Jia Goo's perspective

Ordered by how strongly the researchers Yeong-Jia Goo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. A training algorithm for optimal margin classifiers
  3. Support vector machines
  4. Financial time series forecasting using support vector machines
  5. Support-Vector Networks
  6. Practical Genetic Algorithms
  7. Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (Expert systems with applications)
  8. Tests of the generalizability of Altman's bankruptcy prediction model
  9. Resolution of corporate distress in East Asia
  10. Predicting corporate financial distress: Reflections on choice-based sample bias

Their papers