Rasmus Elsborg Madsen

International Conference on Machine Learning · 2005

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

Whom Rasmus Elsborg Madsen trusts overall

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

  1. Fabrizio Sebastiani
  2. Jason D. M. Rennie
  3. David D. Lewis
  4. Karen Spärck Jones
  5. Akiko Aizawa
  6. Lawrence Kai Shih
  7. Andrew McCallum

Who trusts Rasmus Elsborg Madsen overall

  1. Chong Wang
  2. Zachary Chase Lipton
  3. David M. Blei
  4. Chengxiang Zhai
  5. Charles Peter Elkan
  6. Jianhua Yin
  7. Maria Antoniak

Papers from Rasmus Elsborg Madsen's perspective

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

  1. A comparison of event models for naive bayes text classification
  2. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
  3. Machine learning in automated text categorization
  4. A statistical interpretation of term specificity and its application in retrieval
  5. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  6. A vector space model for automatic indexing
  7. An information-theoretic perspective of tf-idf measures (Information Processing & Management)
  8. Human Behaviour and the Principle of Least Effort: an Introduction to Human Ecology
  9. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  10. A re-examination of text categorization methods

Their papers