Anders Sönnerborg

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anders Sönnerborg trusts

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

  1. Tom Fawcett (in Artificial Intelligence)
  2. Hirotugu Akaike (in Evaluation & Benchmarks)

Papers from Anders Sönnerborg's perspective

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

  1. Classification and Regression Trees
  2. An introduction to ROC analysis
  3. Wrappers for Feature Subset Selection
  4. Correlation-based Feature Selection for Machine Learning
  5. Identification of common molecular subsequences.
  6. Basic local alignment search tool.
  7. Probabilistic reasoning in intelligent systems - networks of plausible inference
  8. The Elements of Statistical Learning
  9. Feature Selection for SVMs (Neural Information Processing Systems)
  10. A new look at the statistical model identification

Their papers