Daniel Micol

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Micol trusts overall

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

  1. Franz Joseph Och
  2. Thorsten Joachims
  3. Yoav Freund

Papers from Daniel Micol's perspective

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

  1. An Empirical Study of Smoothing Techniques for Language Modeling
  2. Statistical Phrase-Based Translation
  3. Optimizing search engines using clickthrough data
  4. Learning to rank using gradient descent
  5. Binary codes capable of correcting deletions, insertions, and reversals
  6. Large Language Models in Machine Translation
  7. The Alignment Template Approach to Statistical Machine Translation (International Conference on Computational Logic)
  8. Immediate-Head Parsing for Language Models (Annual Meeting of the Association for Computational Linguistics)
  9. Large Margin Classification Using the Perceptron Algorithm
  10. An Improved Error Model for Noisy Channel Spelling Correction

Their papers