Richard Kirkby

Artificial Intelligence · 2005–2010

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #6,132 of 35,345 by trust here, #7,945 by citations
• Information Systems — 5 citations into it

Whom Richard Kirkby trusts overall

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

1. Pedro M. Domingos
2. João Gama

Who trusts Richard Kirkby overall

1. Albert Bifet
2. Heitor Murilo Gomes
3. João Gama
4. Indrė Žliobaitė
5. Tyler L. Hayes
6. Dariusz W. Brzezinski
7. G. Holmes
8. Jesse Read
9. Geoffrey I. Webb
10. Jean Paul Barddal

Papers from Richard Kirkby's perspective

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

1. New ensemble methods for evolving data streams
2. UCI Repository of machine learning databases
3. Bagging Predictors
4. Mining high-speed data streams
5. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
6. Random Forests
7. Neural Networks for Pattern Recognition
8. Statistical Comparisons of Classifiers over Multiple Data Sets
9. A comparison of event models for naive bayes text classification
10. Mining time-changing data streams

Their papers

• MOA: Massive Online Analysis (2010) — 1,530 citations
• New ensemble methods for evolving data streams (2009) — 633 citations
• New Options for Hoeffding Trees (2007) — 159 citations
• Weka-A Machine Learning Workbench for Data Mining (2005) — 558 citations