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» A statistical approach to rule learning
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ESWA
2006
122views more  ESWA 2006»
15 years 6 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
CICLING
2003
Springer
15 years 11 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Arantza Casillas, Amparo Varona, Inés Torre...
ACL
2007
15 years 8 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
LREC
2010
176views Education» more  LREC 2010»
15 years 8 months ago
Integrating a Rule-based with a Hierarchical Translation System
Recent developments on hybrid systems that combine rule-based machine translation (RBMT) systems with statistical machine translation (SMT) generally neglect the fact that RBMT sy...
Yu Chen, Andreas Eisele
WSC
1996
15 years 7 months ago
Experimental Evaluation of Confidence Interval Procedures in Sequential Steady-State Simulation
Sequential analysis of simulation output is generally accepted as the most efficient way for securing representativeness of samples of collected observations. In this scenario a s...
Donald C. McNickle, Krzysztof Pawlikowski, Gregory...