Vasily Ershov

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Vasily Ershov trusts overall

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

  1. Jerome H. Friedman
  2. R. Caruana
  3. Tianqi Chen
  4. Yanru Zhang
  5. B. Roe

Who trusts Vasily Ershov overall

  1. Anastasios Nikolas Angelopoulos
  2. Ravid Shwartz-Ziv
  3. Rajiv Punmiya
  4. Azal Ahmad Khan
  5. Binny Mathew

Papers from Vasily Ershov's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Stochastic gradient boosting
  3. XGBoost: A Scalable Tree Boosting System
  4. An empirical comparison of supervised learning algorithms
  5. Boosted decision trees as an alternative to artificial neural networks for particle identification
  6. A gradient boosting method to improve travel time prediction
  7. A preprocessing scheme for high-cardinality categorical attributes in classification and prediction problems (SKDD)
  8. Random Forests
  9. Regression Shrinkage and Selection via the Lasso
  10. The Elements of Statistical Learning

Their papers