Albert Orriols-Puig

Artificial Intelligence Review · 2010

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Albert Orriols-Puig trusts overall

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

  1. J. Ross Quinlan
  2. Vladimir Naumovich Vapni
  3. John C. Platt
  4. Xingquan Zhu
  5. Xindong Wu
  6. David William Aha
  7. Michael Kearns
  8. Mark A. Hall

Who trusts Albert Orriols-Puig overall

  1. Sainbayar Sukhbaatar

Papers from Albert Orriols-Puig's perspective

Ordered by how strongly the researchers Albert Orriols-Puig trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Induction of decision trees
  3. UCI Repository of machine learning databases
  4. The WEKA data mining software: an update
  5. Top 10 algorithms in data mining
  6. Instance-based learning algorithms
  7. Learning From Noisy Examples
  8. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods
  9. Efficient noise-tolerant learning from statistical queries
  10. Class Noise vs. Attribute Noise: A Quantitative Study (Artificial Intelligence Review)

Their papers