Doug Beeferman

Artificial Intelligence · 2000–2011

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Doug Beeferman trusts overall

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

  1. Hynek Hermansky
  2. Mark John Francis Gales
  3. Daniel Povey
  4. Slava M. Katz
  5. Philip C. Woodland
  6. Maryam Kamvar

Who trusts Doug Beeferman overall

  1. Ying Zhao
  2. George Karypis
  3. Meredith Ringel Morris
  4. Dou Shen
  5. Ji-rong Wen
  6. Mukund Deshpande
  7. Claudio Carpineto
  8. Hal Daumé Iii
  9. Claire Fautsch
  10. Ricardo A. Baeza-Yates

Papers from Doug Beeferman's perspective

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

  1. Perceptual linear predictive (PLP) analysis of speech.
  2. Boosted MMI for model and feature-space discriminative training
  3. Large scale discriminative training of hidden Markov models for speech recognition (Computer Speech and Language)
  4. Semi-tied covariance matrices for hidden Markov models
  5. OpenFst: A General and Efficient Weighted Finite-State Transducer Library (International Conference on Implementation and Application of Automata)
  6. Unsupervised versus supervised training of acoustic models
  7. Estimation of probabilities from sparse data for the language model component of a speech recognizer
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. A large scale study of wireless search behavior: Google mobile search (International Conference on Human Factors in Computing Systems)
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers