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» Learning with Mixtures of Trees
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IJRR
2008
113views more  IJRR 2008»
13 years 8 months ago
Flying Fast and Low Among Obstacles: Methodology and Experiments
Safe autonomous flight is essential for widespread acceptance of aircraft that must fly close to the ground. We have developed a methodology of collision avoidance that can be use...
Sebastian Scherer, Sanjiv Singh, Lyle Chamberlain,...
NECO
2006
157views more  NECO 2006»
13 years 7 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
IR
2010
13 years 6 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
ACL
2010
13 years 6 months ago
Simple, Accurate Parsing with an All-Fragments Grammar
We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in contrast to much recent...
Mohit Bansal, Dan Klein