Sciweavers

1707 search results - page 47 / 342
» A Boosting Algorithm for Regression
Sort
View
IBPRIA
2007
Springer
15 years 5 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
ECIR
2007
Springer
15 years 22 days ago
Results Merging Algorithm Using Multiple Regression Models
: This paper describes a new algorithm for merging the results of remote collections in a distributed information retrieval environment. The algorithm makes use only of the ranks o...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
FSKD
2009
Springer
103views Fuzzy Logic» more  FSKD 2009»
15 years 3 months ago
The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes
—This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of Boosting algorithms based on dynamic weighting schemes. It is ...
Xinzhu Yang, Bo Yuan, Wenhuang Liu
FLAIRS
2006
15 years 21 days ago
Using Validation Sets to Avoid Overfitting in AdaBoost
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
Tom Bylander, Lisa Tate
ICIC
2007
Springer
15 years 5 months ago
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
Xia Hong, Sheng Chen, Chris Harris