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IFSA
2007
Springer
133views Fuzzy Logic» more  IFSA 2007»
15 years 3 months ago
Fuzzy Tree Mining: Go Soft on Your Nodes
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
Federico Del Razo López, Anne Laurent, Pasc...
ACL
2009
14 years 7 months ago
Forest-based Tree Sequence to String Translation Model
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
Hui Zhang, Min Zhang, Haizhou Li, AiTi Aw, Chew Li...
ISCI
2007
130views more  ISCI 2007»
14 years 9 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
LCN
2008
IEEE
15 years 4 months ago
Avoidance of multicast incapable branching nodes for multicast routing in WDM networks
— Although many multicast routing algorithms have been proposed in order to reduce the total cost in WDM optical networks, the link stress and delay are two parameters which are ...
Fen Zhou, Miklós Molnár, Bernard Cou...
MT
2006
106views more  MT 2006»
14 years 9 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu