Jon R. Saunders

Artificial Intelligence · 2004–2009

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jon R. Saunders trusts overall

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

  1. Xin Yao
  2. Yong Liu
  3. Thomas G. Dietterich
  4. David B. Fogel
  5. Martin Fodslette Møller
  6. Thomas Bäck
  7. Tapabrata Ray
  8. Saso Dzeroski

Who trusts Jon R. Saunders overall

  1. James Jian Qiao Yu
  2. Hao Gao
  3. Saeed Teimourzadeh

Papers from Jon R. Saunders's perspective

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

  1. Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
  2. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  3. A constructive algorithm for training cooperative neural network ensembles
  4. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (IEEE Press Series on Computational Intelligence)
  5. A new evolutionary system for evolving artificial neural networks
  6. A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
  7. Evolutionary ensembles with negative correlation learning (IEEE Transactions on Evolutionary Computation)
  8. Biomimicry of bacterial foraging for distributed optimization and control
  9. Global Optimization with Polynomials and the Problem of Moments (SIAM Journal on Optimization)
  10. Flocks, herds, and schools: a distributed behavioral model

Their papers