Guanghua Hu

2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Whom Guanghua Hu trusts overall

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

  1. John N. Tsitsiklis
  2. Benjamin Van Roy
  3. Johan A. K. Suykens
  4. Richard S. Sutton
  5. Vladimir Naumovich Vapnik
  6. Jos De Brabanter
  7. John Shawe-Taylor
  8. Christopher J. C. H. Watkins

Who trusts Guanghua Hu overall

  1. Csaba Szepesvari
  2. Amir-massoud Farahmand
  3. Susan A. Murphy
  4. De-An Huang
  5. Daniel J. Lizotte
  6. Sascha Lange
  7. Nan Jiang
  8. Peter Stone
  9. Lihong Li
  10. Omar Darwiche Domingues

Papers from Guanghua Hu's perspective

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

  1. Feature-based methods for large scale dynamic programming
  2. Learning to predict by the methods of temporal differences
  3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  4. Statistical learning theory
  5. An Analysis of Temporal-Difference Learning with Function Approximation
  6. Weighted least squares support vector machines: robustness and sparse approximation (Neurocomputing)
  7. Kernel Methods for Pattern Analysis
  8. Near-Optimal Reinforcement Learning in Polynomial Time
  9. Residual Algorithms: Reinforcement Learning with Function Approximation
  10. Asymptotically efficient adaptive allocation rules

Their papers