Dan Walker

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Dan Walker trusts overall

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

1. Tong Zhang
2. Robert Malouf

Who trusts Dan Walker overall

1. Jakub Konecný

Papers from Dan Walker's perspective

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

1. Building a Large Annotated Corpus of English: The Penn Treebank
2. RCV1: A New Benchmark Collection for Text Categorization Research
3. A Maximum Entropy Approach to Natural Language Processing
4. Stability and Generalization
5. Inducing Features of Random Fields
6. Logistic Regression, AdaBoost and Bregman Distances (Machine-mediated learning)
7. Information Theory and Statistical Mechanics
8. Feature hashing for large scale multitask learning
9. Map-Reduce for Machine Learning on Multicore
10. A Comparison of Algorithms for Maximum Entropy Parameter Estimation (Conference on Computational Natural Language Learning)

Their papers

• Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models (2009) — 311 citations