750 search results - page 9 / 150 » Learning SVMs from Sloppily Labeled Data |
AAAI
2006
13 years 9 months ago
2006
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
ICTAI
2010
IEEE
13 years 5 months ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...