Arash Kamari

2013–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Arash Kamari trusts overall

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

1. Vladimir Naumovich Vapni
2. Rohan Shah
3. Johan A. K. Suykens
4. Corinna Cortes
5. Gavin C. Cawley
6. Joos Vandewalle
7. Vladimir Naumovich Vapnik
8. Nicola L. C. Talbot

Papers from Arash Kamari's perspective

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

1. Support-Vector Networks
2. Least Squares Support Vector Machines
3. The Nature of Statistical Learning Theory
4. Least Squares Support Vector Machine Classifiers
5. Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
6. Prediction of sour gas compressibility factor using an intelligent approach
7. Statistical Learning Theory
8. Pattern Recognition and Neural Networks
9. A training algorithm for optimal margin classifiers
10. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine

Their papers

• Evaluating the Unloading Gradient Pressure in Continuous Gas-lift Systems During Petroleum Production Operations (2014) — 54 citations
• Prediction of sour gas compressibility factor using an intelligent approach (2013) — 96 citations