Huan Chang

International Conference on Machine Learning · with Arora · 2000–2022

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

Whom Huan Chang trusts overall

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

  1. Jon M. Kleinberg
  2. Hirotugu Akaike

Who trusts Huan Chang overall

  1. Pavel Berkhin
  2. Amy Nicole Langville
  3. Charu C. Aggarwal
  4. David A. Cohn
  5. Wu-Jun Li
  6. Shenghuo Zhu
  7. Zhiyuan Liu
  8. Carl Dean Meyer
  9. Chengxiang Zhai
  10. Thomas Hofmann

Papers from Huan Chang's perspective

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

  1. Estimating the Dimension of a Model
  2. Wikidata
  3. Authoritative sources in a hyperlinked environment
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. A new look at the statistical model identification
  6. Corpus Stylistics: Speech, Writing and Thought Presentation in a Corpus of English Writing
  7. The Structure of Collaborative Tagging Systems (arXiv.org)
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. ImageNet classification with deep convolutional neural networks
  10. The Anatomy of a Large-Scale Hypertextual Web Search Engine

Their papers