Daniel Marcu

Artificial Intelligence · with Langford · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Marcu trusts overall

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

  1. Michael Collins

Who trusts Daniel Marcu overall

  1. Stéphane Ross
  2. Kevin Clark
  3. Andreas Vlachos
  4. J. Bagnell

Papers from Daniel Marcu's perspective

Ordered by how strongly the researchers Daniel Marcu 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. Max-Margin Markov Networks
  3. Head-Driven Statistical Models for Natural Language Parsing
  4. The perceptron: a probabilistic model for information storage and organization in the brain.
  5. Learning structured prediction models: a large margin approach
  6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet classification with deep convolutional neural networks
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers