18 search results - page 3 / 4 » Tree Kernel and Feature Vector Methods for Formal Semantic R... |
CIDM
2007
IEEE
14 years 16 days ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
EMNLP
2010
13 years 6 months ago
2010
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
ESWS
2008
Springer
13 years 10 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
The human voice is primarily a carrier of speech, but it also contains non-linguistic features unique to a speaker and indicative of various speaker demographics, e.g. gender, nat...
ESANN
2006
13 years 10 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...