J. Austin

with Hodge

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. Austin trusts overall

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

  1. J. Ross Quinlan
  2. Niko Speybroeck

Who trusts J. Austin overall

  1. Leying Guan
  2. Benoît Frénay
  3. Hongzhi Wang
  4. Takafumi Kanamori
  5. Ying Sun
  6. Steven Euijong Whang
  7. Marco A. F. Pimentel
  8. Sean Kandel
  9. Di Tang
  10. Yangming Shi

Papers from J. Austin's perspective

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

  1. Induction of decision trees
  2. Classification and regression trees
  3. Algorithms for Clustering Data
  4. The Strength of Weak Learnability
  5. The PageRank Citation Ranking : Bringing Order to the Web
  6. The Nature of Statistical Learning Theory
  7. A decision-theoretic generalization of on-line learning and an application to boosting
  8. Improved Boosting Algorithms Using Confidence-rated Predictions
  9. A Comparison of Document Clustering Techniques
  10. MetaCost: a general method for making classifiers cost-sensitive

Their papers