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UML
2005
Springer
15 years 10 months ago
Code Generation from UML Models with Semantic Variation Points
UML semantic variation points provide intentional degrees of freedom for the interpretation of the metamodel semantics. The interest of semantic variation points is that UML now b...
Franck Chauvel, Jean-Marc Jézéquel
ICCPOL
2009
Springer
15 years 2 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
ECML
2007
Springer
15 years 11 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
IJCNLP
2005
Springer
15 years 10 months ago
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
Wei Yuan, Jianfeng Gao, Hisami Suzuki
SIGSOFT
2003
ACM
15 years 10 months ago
Fluent model checking for event-based systems
Model checking is an automated technique for verifying that a system satisfies a set of required properties. Such properties are typically expressed as temporal logic formulas, in...
Dimitra Giannakopoulou, Jeff Magee