Cheng-Tao Chu

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 Cheng-Tao Chu trusts overall

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

  1. Leslie G. Valiant
  2. Michael Kearns
  3. Olivier Chapelle
  4. Muthu Dayalan
  5. Vladimir Naumovich Vapnik
  6. David D. Lewis

Who trusts Cheng-Tao Chu overall

  1. Dhruv Kumar Mahajan
  2. Vitaly Feldman
  3. Martin A. Zinkevich
  4. J. Langford
  5. Yucheng Low
  6. Quoc V. Le
  7. Janis Keuper
  8. Bryan Catanzaro
  9. Yinzhi Cao
  10. Olivier Chapelle

Papers from Cheng-Tao Chu's perspective

Ordered by how strongly the researchers Cheng-Tao Chu 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. Efficient noise-tolerant learning from statistical queries
  8. Parallel Support Vector Machines: The Cascade SVM (Neural Information Processing Systems)
  9. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
  10. Software and the Concurrency Revolution (Queue)

Their papers