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ACL
2007
15 years 3 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao
GI
2005
Springer
15 years 8 months ago
Model-Based Requirements Engineering with AutoRAID
: While software design is increasingly based on models, requirements engineering is generally performed using structured text; as a consequence, only a weakly structured connectio...
Bernhard Schätz, Andreas Fleischmann, Eva Gei...
SAT
2004
Springer
88views Hardware» more  SAT 2004»
15 years 7 months ago
Improving First-order Model Searching by Propositional Reasoning and Lemma Learning
The finite model generation problem in the first-order logic is a generalization of the propositional satisfiability (SAT) problem. An essential algorithm for solving the proble...
Zhuo Huang, Hantao Zhang, Jian Zhang
127
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HIPC
1999
Springer
15 years 6 months ago
Stochastic Modeling of TCP/IP over Random Loss Channels
An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented that is based on a semi-Markov model for the window ...
Alhussein A. Abouzeid, Murat Azizoglu, Sumit Roy
VLDB
1990
ACM
69views Database» more  VLDB 1990»
15 years 6 months ago
Concept Description Language for Statistical Data Modeling
In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summarydata.Thereare threemain c...
Tiziana Catarci, Giovanna D'Angiolini, Maurizio Le...