Peter Phung

Statistical Learning Theory · 2005

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it

Whom Peter Phung trusts overall

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

1. Judea Pearl
2. Christopher K. I. Williams

Who trusts Peter Phung overall

1. Fabrizio Costa

Papers from Peter Phung's perspective

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

1. Convolution Kernels for Natural Language (Neural Information Processing Systems)
2. Probabilistic reasoning in intelligent systems - networks of plausible inference
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. Marginalized Kernels Between Labeled Graphs
5. On Graph Kernels: Hardness Results and Efficient Alternatives
6. Fast Kernels for String and Tree Matching
7. Text Classification using String Kernels
8. Convolution kernels on discrete structures
9. The Spectrum Kernel: A String Kernel for SVM Protein Classification
10. Mismatch String Kernels for SVM Protein Classification

Their papers

• Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity (2005) — 206 citations