Paul E. Anderson

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul E. Anderson trusts overall

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

  1. Ian T. Jolliffe
  2. John C. Lindon
  3. Edward C. Holmes

Papers from Paul E. Anderson's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. A unified architecture for natural language processing: deep neural networks with multitask learning
  3. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  4. Scikit-learn: Machine Learning in Python
  5. Random Forests
  6. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  7. Theano: new features and speed improvements
  8. Multimodal learning with deep Boltzmann machines
  9. Multivariate calibration. (Journal of Chromatography A)
  10. The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics

Their papers