1315 search results - page 71 / 263 » Discovering significant rules |
EMNLP
2008
15 years 1 months ago
2008
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
FUIN
2002
14 years 11 months ago
2002
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
106
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ACL
2010
14 years 10 months ago
2010
In hierarchical phrase-based SMT systems, statistical models are integrated to guide the hierarchical rule selection for better translation performance. Previous work mainly focus...
189
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ICDE
2006
IEEE
16 years 1 months ago
2006
IEEE
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
SAC
2004
ACM
15 years 5 months ago
2004
ACM
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...