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» Word Importance Discrimination Using Context Information
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CLA
2004
14 years 11 months ago
A new Informative Generic Base of Association Rules
The problem of the relevance and the usefulness of extracted association rules is becoming of primary importance, since an overwhelming number of association rules may be derived f...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
CORR
2010
Springer
157views Education» more  CORR 2010»
14 years 10 months ago
Context Awareness Framework Based on Contextual Graph
- Nowadays computing becomes increasingly mobile and pervasive. One of the important steps in pervasive computing is context-awareness. Context-aware pervasive systems rely on info...
Tam Van Nguyen, Wontaek Lim, Huy Anh Nguyen, Deokj...
MLDM
2005
Springer
15 years 3 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
NAACL
2010
14 years 7 months ago
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Niyu Ge
ICDE
2009
IEEE
145views Database» more  ICDE 2009»
15 years 4 months ago
Context-Aware Object Connection Discovery in Large Graphs
— Given a large graph and a set of objects, the task of object connection discovery is to find a subgraph that retains the best connection between the objects. Object connection...
James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu