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ACL
2007
15 years 8 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 12 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 11 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
HIPC
1999
Springer
15 years 10 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 10 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...