3052 search results - page 76 / 611 » Weakly Distributive Domains |
EMNLP
2009
14 years 7 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
PKDD
2007
Springer
15 years 4 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
CLUSTER
2005
IEEE
15 years 3 months ago
2005
IEEE
A large organization, such as a university, commonly supplies computational power through multiple independently administered computational domains (e.g. clusters). Each computati...
EMNLP
2004
14 years 11 months ago
2004
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
APSCC
2008
IEEE
15 years 4 months ago
2008
IEEE
The variety and heterogeneity of legacy systems at the application level have contributed to the complexity of interoperability provision among different application domains. In t...