Jon Degenhardt

2010

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

Whom Jon Degenhardt trusts

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

1. Leo Breiman (in Evaluation & Benchmarks)

Who trusts Jon Degenhardt

1. Jimmy J. Lin (in Artificial Intelligence)

Papers from Jon Degenhardt's perspective

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

1. Bagging Predictors
2. Learning with Kernels: support vector machines, regularization, optimization, and beyond
3. Robust Real-Time Face Detection
4. Experiments with a New Boosting Algorithm
5. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
6. Adapting ranking SVM to document retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
7. A General Boosting Method and its Application to Learning Ranking Functions for Web Search
8. Statistical learning theory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Early exit optimizations for additive machine learned ranking systems (2010) — 161 citations