Kenney Ng

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Kenney Ng trusts overall

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

  1. Jerome H. Friedman
  2. Radford M. Neal
  3. David Ruppert
  4. Moses Charikar
  5. Monika Henzinger
  6. Pavel Berkhin
  7. Max Kuhn

Who trusts Kenney Ng overall

  1. Minsuk Kahng
  2. Hendrik Strobelt
  3. Sebastian Gehrmann
  4. Nadia Burkart

Papers from Kenney Ng's perspective

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

  1. Random Forests
  2. Pattern Recognition and Machine Learning
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Greedy function approximation: A gradient boosting machine.
  5. Similarity estimation techniques from rounding algorithms
  6. Interactive optimization for steering machine classification
  7. Syntactic Clustering of the Web
  8. EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
  9. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
  10. Principles of Explanatory Debugging to Personalize Interactive Machine Learning

Their papers