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» Learning to learn with the informative vector machine
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FLAIRS
2008
13 years 11 months ago
Unsupervised Approach for Selecting Sentences in Query-based Summarization
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
Yllias Chali, Shafiq R. Joty
CIKM
2008
Springer
13 years 11 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
IJCAI
2007
13 years 10 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
FLAIRS
2001
13 years 10 months ago
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
In this paper, we give an overview of a system (CAIMAN) that can facilitate the exchange of relevant documents between geographically dispersed people in Communities of Interest. ...
Martin S. Lacher, Georg Groh
AIL
2006
130views more  AIL 2006»
13 years 9 months ago
Extractive summarisation of legal texts
We describe research carried out as part of a text summarisation project for the legal domain for which we use a new XML corpus of judgments of the UK House of Lords. These judgmen...
Ben Hachey, Claire Grover