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JMLR
2006
135views more  JMLR 2006»
13 years 10 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»
14 years 5 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...
WEA
2010
Springer
476views Algorithms» more  WEA 2010»
14 years 5 months ago
Fast FPT Algorithms for Computing Rooted Agreement Forests: Theory and Experiments
We improve on earlier FPT algorithms for computing a rooted maximum agreement forest (MAF) or a maximum acyclic agreement forest (MAAF) of a pair of phylogenetic trees. Their sizes...
Chris Whidden, Robert G. Beiko, Norbert Zeh
CORR
2010
Springer
68views Education» more  CORR 2010»
13 years 11 months ago
An Optimization for Reasoning with Forest Logic Programs
Open Answer Set Programming (OASP) is an attractive framework for integrating ontologies and rules. In general OASP is undecidable. In previous work we provided a tableau-based alg...
Cristina Feier, Stijn Heymans
ACL
2010
13 years 9 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li