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PLANX
2008
14 years 11 months ago
XML Type Checking for Macro Tree Transducers with Holes
Macro forest transducers (mfts) extend macro tree transducers (mtts) from ranked to unranked trees. Mfts are more powerful than mtts (operating on binary tree encodings) because t...
Sebastian Maneth, Keisuke Nakano
CVPR
2009
IEEE
16 years 4 months ago
Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees
Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many applications require making ...
Andrew Moldenke, Asako Yamamuro, David A. Lytle, E...
ECCV
2010
Springer
14 years 10 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
BMCBI
2008
219views more  BMCBI 2008»
14 years 10 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
ENVSOFT
2006
125views more  ENVSOFT 2006»
14 years 9 months ago
Sensitivity analysis based on regional splits and regression trees (SARS-RT)
A global sensitivity analysis with regional properties is introduced. This method is demonstrated on two synthetic and one hydraulic example. It can be shown that an uncertainty a...
Florian Pappenberger, Ion Iorgulescu, Keith J. Bev...