Virender Ranga

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Virender Ranga trusts overall

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

  1. Leo Breiman
  2. Radford M. Neal
  3. Jaka Demsar
  4. Jerome H. Friedman
  5. Pierre Geurts
  6. Adam Dunkels
  7. Trevor J. Hastie
  8. William J. Conover

Papers from Virender Ranga's perspective

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

  1. Random Forests
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. Scikit-learn: Machine Learning in Python
  4. Pattern Recognition and Machine Learning
  5. Greedy function approximation: A gradient boosting machine.
  6. Classification and regression trees
  7. Random Search for Hyper-Parameter Optimization
  8. Stochastic gradient boosting
  9. Statistical Comparisons of Classifiers over Multiple Data Sets
  10. XGBoost: A Scalable Tree Boosting System

Their papers