Timo Burkard

2006

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

Who trusts Timo Burkard overall

1. Bhaskar Mitra
2. Nick Craswell

Papers from Timo Burkard's perspective

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

1. IR evaluation methods for retrieving highly relevant documents
2. Relevance feedback in information retrieval
3. Learning to rank using gradient descent
4. Learning with Kernels: support vector machines, regularization, optimization, and beyond
5. Large Margin Rank Boundaries for Ordinal Regression
6. Pranking with Ranking (Neural Information Processing Systems)
7. Boosting Algorithms as Gradient Descent
8. Signature Verification Using A "Siamese" Time Delay Neural Network
9. Neural Networks: Tricks of the Trade
10. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons

Their papers

• High accuracy retrieval with multiple nested ranker (2006) — 151 citations