Sudheer Ch

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sudheer Ch trusts overall

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

  1. Thorsten Joachims
  2. Yuhai Wu
  3. Kasra Mohammadi
  4. Srinivas Mukkamala
  5. Shiliang Sun
  6. Vladimir Naumovich Vapnik
  7. Andrew H. Sung
  8. Ronan Collobert
  9. Vladimir Naumovich Vapni

Papers from Sudheer Ch's perspective

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

  1. Statistical Learning Theory
  2. The Nature of Statistical Learning Theory
  3. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  4. SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Journal of machine learning research)
  5. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  6. Extreme learning machine: Theory and applications
  7. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  8. A survey of multi-view machine learning
  9. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
  10. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing

Their papers