Andy Laucius
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 Andy Laucius overall
Papers from Andy Laucius's perspective
Ordered by how strongly the researchers Andy Laucius trusts endorse each paper. Same corpus, a different order for every researcher.
- IR evaluation methods for retrieving highly relevant documents
- Relevance feedback in information retrieval
- Learning to rank using gradient descent
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Large Margin Rank Boundaries for Ordinal Regression
- Pranking with Ranking (Neural Information Processing Systems)
- Boosting Algorithms as Gradient Descent
- Signature Verification Using A "Siamese" Time Delay Neural Network
- Neural Networks: Tricks of the Trade
- Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Their papers
- High accuracy retrieval with multiple nested ranker (2006) — 151 citations