Larry Michael Manevitz

Journal of machine learning research · 2002

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Larry Michael Manevitz trusts overall

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

  1. Ken Lang
  2. Thorsten Joachims
  3. Susan T. Dumais
  4. John C. Platt

Who trusts Larry Michael Manevitz overall

  1. Charu C. Aggarwal
  2. B. Liu
  3. Shehroz S. Khan
  4. Wee Sun Lee
  5. Geli Fei
  6. Fantine Mordelet
  7. Haibo He
  8. Zhaoyi Xu
  9. Markos Markou
  10. Wai Lam

Papers from Larry Michael Manevitz's perspective

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

  1. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  2. Ììì Öûûò Ë Blockinöö Óóóòòòö Áòøøöòòøøóòòð
  3. NewsWeeder: Learning to Filter Netnews
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  7. Gradient-based learning applied to document recognition
  8. Learning Deep Architectures for AI
  9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers