Ron Begleiter

Journal of Artificial Intelligence Research · 2004

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ron Begleiter trusts overall

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

  1. Lawrence R. Rabiner
  2. Giovanni Manzini
  3. Chris H. Q. Ding
  4. Tommi S. Jaakkola
  5. Erik L. L. Sonnhammer
  6. Dana Ron
  7. Ian H. Witten
  8. Alexey G. Murzin
  9. M. Burrows
  10. Inna Dubchak

Who trusts Ron Begleiter overall

  1. Wenwen Ding
  2. Daniel Struck
  3. Kang Li
  4. Kai Liu
  5. J. L. Boudec

Papers from Ron Begleiter's perspective

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

  1. Information Theory: 1948-1998 - Guest Editorial
  2. A tutorial on hidden Markov models and selected applications in speech recognition
  3. Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods.
  4. Gradient-based learning applied to document recognition
  5. Fundamentals of speech recognition
  6. A Block-sorting Lossless Data Compression Algorithm
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet classification with deep convolutional neural networks

Their papers