Yi-An Lin

Optimization & Training · 2006

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

Subfields

Whom Yi-An Lin trusts overall

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

  1. Leslie G. Valiant
  2. Michael Kearns
  3. Muthu Dayalan
  4. Olivier Chapelle

Who trusts Yi-An Lin overall

  1. Dhruv Kumar Mahajan
  2. Vitaly Feldman
  3. Martin A. Zinkevich

Papers from Yi-An Lin's perspective

Ordered by how strongly the researchers Yi-An Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Estimation of Dependences Based on Empirical Data
  2. MapReduce: simplified data processing on large clusters
  3. Training a Support Vector Machine in the Primal
  4. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  5. A theory of the learnable
  6. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
  7. Parallel Support Vector Machines: The Cascade SVM (Neural Information Processing Systems)
  8. Efficient noise-tolerant learning from statistical queries
  9. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
  10. Software and the Concurrency Revolution (Queue)

Their papers