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IJAR
2010
189views more  IJAR 2010»
13 years 3 months 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....
EUSFLAT
2009
145views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Weighted Decisions in a Fuzzy Random Forest
Piero P. Bonissone, José Manuel Cadenas, M....
JMLR
2006
135views more  JMLR 2006»
13 years 4 months ago
Quantile Regression Forests
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
Nicolai Meinshausen
IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
13 years 11 months ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
13 years 11 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...