Matthieu Boussard

2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Matthieu Boussard trusts overall

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

1. J. Ross Quinlan
2. Niko Speybroeck

Papers from Matthieu Boussard's perspective

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

1. Induction of decision trees
2. Classification and regression trees
3. Data Mining with Decision Trees: Theory and Applications
4. The Strength of Weak Learnability
5. The Nature of Statistical Learning Theory
6. C4.5: Programs for Machine Learning
7. A Comparison of Document Clustering Techniques
8. Algorithms for Clustering Data
9. Learning structural descriptions from examples
10. Learning with Kernels: support vector machines, regularization, optimization, and beyond

Their papers

• Information gain ratio correction: Improving prediction with more balanced decision tree splits (2018) — 8 citations