Lei Tan

with Long · 1996

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Lei Tan trusts overall

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

  1. Michael Kearns
  2. Leslie G. Valiant
  3. Peter Auer
  4. Andrzej Ehrenfeucht

Who trusts Lei Tan overall

  1. Stuart Andrews
  2. Zhi-Hua Zhou
  3. Boris Babenko
  4. Sivan Sabato
  5. Oded Maron
  6. Yixin Chen
  7. Ioannis Tsochantaridis
  8. Thomas Hofmann
  9. Yanshan Xiao
  10. Min-Ling Zhang

Papers from Lei Tan's perspective

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

  1. A theory of the learnable
  2. A general lower bound on the number of examples needed for learning
  3. ON CONVERGENCE OF STOCHASTIC PROCESSES
  4. Efficient noise-tolerant learning from statistical queries
  5. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
  6. Approximating hyper-rectangles: learning and pseudo-random sets
  7. Learning Regular Sets from Queries and Counterexamples
  8. On the learnability of Boolean formulae
  9. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  10. Convergence of stochastic processes

Their papers