Haidi Rao

Artificial Intelligence · 2019

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

Subfields

Whom Haidi Rao trusts overall

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

  1. Shan Suthaharan
  2. Hanchuan Peng
  3. Mehdi Hosseinzadeh Aghdam
  4. Zhixiang Eddie Xu
  5. Eugene Tuv
  6. Jerome H. Friedman

Papers from Haidi Rao's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
  3. Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
  4. Gradient boosted feature selection
  5. Consistency-based search in feature selection
  6. Dimensionality Reduction via Sparse Support Vector Machines
  7. Text feature selection using ant colony optimization (Expert systems with applications)
  8. Feature Selection (ACM Computing Surveys)
  9. Machine Learning Models and Algorithms for Big Data Classification
  10. Regression Shrinkage and Selection via the Lasso

Their papers