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IJAR
2010
189views more  IJAR 2010»
15 years 13 days ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....
123
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SAC
2004
ACM
15 years 7 months ago
Forest trees for on-line data
This paper presents an hybrid adaptive system for induction of forest of trees from data streams. The Ultra Fast Forest Tree system (UFFT) is an incremental algorithm, with consta...
João Gama, Pedro Medas, Ricardo Rocha
AUIC
2006
IEEE
15 years 8 months ago
Visualising phylogenetic trees
• This paper describes techniques for visualising pairs of similar trees. Our aim is to develop ways of presenting the information so as to highlight both the common structure of...
Wan Nazmee Wan Zainon, Paul R. Calder
AAAI
2004
15 years 3 months ago
Using Performance Profile Trees to Improve Deliberation Control
Performance profile trees have recently been proposed as a theoretical basis for fully normative deliberation control. In this paper we conduct the first experimental study of the...
Kate Larson, Tuomas Sandholm
NLP
2000
15 years 5 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...