530 search results - page 4 / 106 » Learning Bounds for Domain Adaptation |
ICASSP
2007
IEEE
14 years 2 days ago
2007
IEEE
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
IJCSA
2006
13 years 5 months ago
2006
This work presents an XML-based authoring methodology that facilitates the different tasks associated with the development of standards-compliant e-learning content development. T...
ECIR
2009
Springer
13 years 3 months ago
2009
Springer
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
AAI
2008
13 years 5 months ago
2008
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
CIKM
2009
Springer
14 years 9 days ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...