Thomas W. Raasch

2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Thomas W. Raasch trusts

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

  1. J. Ross Quinlan (in Statistical Learning Theory)
  2. David Ruppert (in Evaluation & Benchmarks)
  3. Ron Kohavi (in Evaluation & Benchmarks)

Papers from Thomas W. Raasch's perspective

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

  1. Induction of decision trees
  2. Standards for reporting the optical aberrations of eyes. (Journal of refractive surgery)
  3. Programs for Machine Learning
  4. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  6. C4.5: Programs for Machine Learning
  7. Nearest neighbor pattern classification
  8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  9. Prolog Programming for Artificial Intelligence
  10. The Anatomy of a Large-Scale Hypertextual Web Search Engine

Their papers