1863 search results - page 47 / 373 » A supervised learning approach for imbalanced data sets |
140
click to vote
KDD
2008
ACM
16 years 4 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
141
click to vote
ECCV
2010
Springer
15 years 6 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
140
Voted
ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
154
click to vote
ACL
2008
15 years 5 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
121
click to vote
ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...