G. Sivakumar

1999

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom G. Sivakumar trusts overall

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

1. Mark W. Craven
2. Emanuel Parzen
3. Donald F. Specht
4. David E. Rumelhart
5. Pat Langley
6. Jude W. Shavlik

Who trusts G. Sivakumar overall

1. Randall Balestriero
2. Grgoire Montavon
3. Zhi-Hua Zhou
4. Q. Liao
5. Riccardo Guidotti

Papers from G. Sivakumar's perspective

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

1. Learning internal representations by error propagation
2. Applications of machine learning and rule induction
3. On Estimation of a Probability Density Function and Mode
4. Pattern classification and scene analysis
5. Extracting comprehensible models from trained neural networks
6. Using Sampling and Queries to Extract Rules from Trained Neural Networks
7. Neural Networks: A Comprehensive Foundation
8. Probabilistic neural networks
9. Rule Generation from Neural Networks
10. Reinforcement Learning: An Introduction

Their papers

• Extracting decision trees from trained neural networks (1999)
• A search technique for rule extraction from trained neural networks (1999)