Eyal Beigman

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Eyal Beigman trusts overall

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

  1. Michael Collins
  2. Michael Kearns
  3. Nigel P. Duffy
  4. David Haussler
  5. Yoav Freund
  6. Robert E. Schapire
  7. Dana Angluin
  8. Venkatesan Guruswami

Who trusts Eyal Beigman overall

  1. Jacob Goldberger
  2. Shruti Bhargava
  3. Tong Xiao
  4. Ehud Ben-Reuven
  5. David A. Forsyth
  6. Evelin Amorim
  7. Tian Xia
  8. Daniel Kang
  9. Benoît Frénay
  10. Andreas Veit

Papers from Eyal Beigman's perspective

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

  1. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  2. Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron (Annual Meeting of the Association for Computational Linguistics)
  3. Incremental Parsing with the Perceptron Algorithm
  4. New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron (Annual Meeting of the Association for Computational Linguistics)
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Learning in the presence of malicious errors
  10. Large Margin Classification Using the Perceptron Algorithm

Their papers