Bin Li

Artificial Intelligence · with Fu · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Li trusts overall

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

  1. Burr Settles
  2. Naoki Abe
  3. Hieu V. Nguyen
  4. Mark W. Craven
  5. H. Sebastian Seung

Who trusts Bin Li overall

  1. Haitao Liu

Papers from Bin Li's perspective

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

  1. Query by committee
  2. A sequential algorithm for training text classifiers
  3. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
  4. Query Learning Strategies Using Boosting and Bagging
  5. Toward Optimal Active Learning through Sampling Estimation of Error Reduction
  6. Multiple-Instance Active Learning
  7. Get another label? improving data quality and data mining using multiple, noisy labelers
  8. Importance weighted active learning
  9. An Analysis of Active Learning Strategies for Sequence Labeling Tasks
  10. Active learning using pre-clustering (International Conference on Machine Learning)

Their papers