Julie Symons

Artificial Intelligence · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julie Symons trusts

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

  1. Eric R. Ziegel (in Artificial Intelligence)
  2. J. Ross Quinlan (in Algorithms & Complexity)

Papers from Julie Symons's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  3. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  4. Causality : Models , Reasoning , and Inference
  5. Learning Bayesian networks: The combination of knowledge and statistical data
  6. Pattern classification and scene analysis
  7. Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining (TOCS)
  8. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  9. Grid information services for distributed resource sharing (Proceedings 10th IEEE International Symposium on High Performance Distributed Computing)
  10. Programs for Machine Learning

Their papers