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ACL
1998
14 years 11 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
ISCI
2007
151views more  ISCI 2007»
14 years 9 months ago
Enriching the ER model based on discovered association rules
The entity–relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding impr...
Guoqing Chen, Ming Ren, Peng Yan, Xunhua Guo
JUCS
2007
118views more  JUCS 2007»
14 years 9 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
DOOD
1995
Springer
102views Database» more  DOOD 1995»
15 years 1 months ago
Active Database Rules with Transaction-Conscious Stable-Model Semantics
Semantics represents a major problem area for active databases inasmuch as (i) there is l framework for defining the abstract semantics of active rules, and (ii) the various syst...
Carlo Zaniolo
LWA
2004
14 years 11 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz