Gordon F. Hughes

Journal of machine learning research · 2005

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Gordon F. Hughes trusts overall

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

1. C. Burges
2. Robert A. Lordo
3. Jun Wang
4. Honghua (Kathy) Dai

Who trusts Gordon F. Hughes overall

1. Charles Bergeron
2. Marc-Andre Carbonneau
3. Jed Zaretzki

Papers from Gordon F. Hughes's perspective

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

1. The Nature of Statistical Learning Theory
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. Sparse Bayesian Learning and the Relevance Vector Machine
4. Individual Comparisons by Ranking Methods
5. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
6. Kernel Matching Pursuit (Machine-mediated learning)
7. Solving the Multiple-Instance Problem: A Lazy Learning Approach
8. Learning from Data: Concepts, Theory, and Methods (Technometrics)
9. Advances in Knowledge Discovery and Data Mining
10. ImageNet classification with deep convolutional neural networks

Their papers

• Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application (2005) — 305 citations