Nicholas Wagner
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #22,057 of 35,345 by trust here, #32,362 by citations
Whom Nicholas Wagner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nicholas Wagner overall
Papers from Nicholas Wagner's perspective
Ordered by how strongly the researchers Nicholas Wagner trusts endorse each paper. Same corpus, a different order for every researcher.
- Top-down induction of decision trees classifiers - a survey
- Constructing Optimal Binary Decision Trees is NP-Complete
- Programs for Machine Learning
- Pattern classification and scene analysis
- The Attribute Selection Problem in Decision Tree Generation
- A further comparison of splitting rules for decision-tree induction
- Induction of decision trees
- Trading Accuracy for Simplicity in Decision Trees
- Multivariate Decision Trees
- Incremental Induction of Decision Trees
Their papers
- Symbolic regression in materials science (2019) — 326 citations
- Theory-Guided Machine Learning in Materials Science (2016)