Hinmikaiye J. O
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Hinmikaiye J. O trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Taiwo Oladipupo Ayodele (in Artificial Intelligence)
- S. Kotsiantis (in Evaluation & Benchmarks)
Papers from Hinmikaiye J. O's perspective
Ordered by how strongly the researchers Hinmikaiye J. O trusts endorse each paper. Same corpus, a different order for every researcher.
- Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results
- The Nature of Statistical Learning Theory
- Neural Networks for Pattern Recognition
- Understanding Machine Learning - From Theory to Algorithms
- The Elements of Statistical Learning
- Learning Bayesian networks from data: An information-theory based approach (Artificial Intelligence)
- Data Mining Practical Machine Learning Tools and Techniques
- Types of Machine Learning Algorithms
- A local search approximation algorithm for k-means clustering (SCG '02)
- Principles of neurodynamics
Their papers
- Supervised Machine Learning Algorithms: Classification and Comparison (2017) — 691 citations