Tessa A. Lau

International Conference on Human Factors in Computing Systems · 2001–2008

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Tessa A. Lau trusts overall

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

  1. Nicholas Kushmerick
  2. Leslie G. Valiant
  3. Eugene Charniak
  4. David Haussler
  5. Henry A. Kautz
  6. Pat Langley
  7. Temple F. Smith

Who trusts Tessa A. Lau overall

  1. Sumit Gulwani
  2. Rishabh Singh
  3. Percy Liang
  4. Tongshuang Sherry Wu
  5. Edward R. Pantridge
  6. Aditya Krishna Menon
  7. Michael I. Jordan
  8. William R. Harris
  9. Marco Tulio Ribeiro
  10. Thomas Helmuth

Papers from Tessa A. Lau's perspective

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

  1. A theory of the learnable
  2. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework
  3. Occam's razor
  4. Wrapper induction: Efficiency and expressiveness (Artificial Intelligence)
  5. Classifier Learning from Noisy Data as Probabilistic Evidence Combination
  6. The Long Tail: Why the Future of Business is Selling Less of More
  7. Applications of machine learning and rule induction
  8. Learning Regular Sets from Queries and Counterexamples
  9. A theory of the learnable
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers