1683 search results - page 84 / 337 » Learning with Mixtures of Trees |
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
COCO
2006
Springer
14 years 28 days ago
2006
Springer
We give an algorithm that learns any monotone Boolean function f : {-1, 1}n {-1, 1} to any constant accuracy, under the uniform distribution, in time polynomial in n and in the de...
ECAI
2008
Springer
13 years 11 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. Object viewpoint classification aims at predicting an approximate 3D pose of objects in a scene and is receiving increasing attention. State-of-the-art approaches to view...
CIDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...