Sciweavers

1860 search results - page 99 / 372
» Boosting Methods for Regression
Sort
View
NIPS
2008
15 years 4 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
ICML
2010
IEEE
15 years 4 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
EPIA
2005
Springer
15 years 8 months ago
Adapting Peepholing to Regression Trees
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Luís Torgo, Joana Marques
ICCV
2005
IEEE
16 years 5 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICPR
2010
IEEE
15 years 10 months ago
Boosting Gray Codes for Red Eyes Removal
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the red-eyes artifacts have de-facto become a critical problem. The technique he...
Sebastiano Battiato, Giovanni Maria Farinella, Mir...