Eva Lorenzo Iglesias

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eva Lorenzo Iglesias trusts overall

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

  1. Ralf Klinkenberg
  2. Vladimir Naumovich Vapni
  3. Jerome H. Friedman
  4. Ron Kohavi
  5. Ludmila I. Kuncheva
  6. Robert E. Schapire
  7. Gerhard Widmer
  8. Harris Drucker

Papers from Eva Lorenzo Iglesias's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Instance-based learning algorithms
  3. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
  4. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  5. Incremental learning from noisy data
  6. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  7. Learning in the Presence of Concept Drift and Hidden Contexts
  8. Machine learning in automated text categorization
  9. Detecting Concept Drift with Support Vector Machines (International Conference on Machine Learning)
  10. The problem of concept drift: definitions and related work

Their papers