2898 search results - page 150 / 580 » Ensemble Methods in Machine Learning |
203
Voted
KDD
1999
ACM
15 years 11 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
201
Voted
IPMI
2007
Springer
16 years 8 months ago
2007
Springer
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
210
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
223
Voted
ICCV
2007
IEEE
16 years 9 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
189
Voted
ICMLA
2010
15 years 5 months ago
2010
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...