27 search results - page 1 / 6 » Improving Semi-Supervised Support Vector Machines Through Un... |
AAAI
2011
12 years 8 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
ICPR
2006
IEEE
14 years 2 months ago
2006
IEEE
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
NAACL
2007
13 years 10 months ago
2007
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
EMNLP
2010
13 years 6 months ago
2010
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
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 ...