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» Process modeling paradigms: an evaluation
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COLING
2010
13 years 2 months ago
Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
Germán Sanchis-Trilles, Francisco Casacuber...
ICASSP
2011
IEEE
12 years 11 months ago
Efficiency evaluation and orthogonal basis determination in functional HRTF modeling
This paper consider the problem of how to evaluate the efficiency of a 3D continuous functional HRTF model in representing measured data. The proposed method is based on Karhunen...
Mengqiu Zhang, Rodney A. Kennedy, Thushara D. Abha...
ENTCS
2008
78views more  ENTCS 2008»
13 years 7 months ago
The Role of Visual Modeling and Model Transformations in Business-driven Development
This paper explores the emerging paradigm of business-driven development, which presupposes a methodology for developing IT solutions that directly satisfy business requirements a...
Jana Koehler, Rainer Hauser, Jochen Malte Küs...
CCE
2006
13 years 7 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
ARCS
2006
Springer
13 years 11 months ago
Automated Construction of Dependability Models by Aspect-Oriented Modeling and Model Transformation
Abstract. In order to support the dependability analysis of a system under design in an early phase of the design process, so-called fault tolerance libraries can be created that c...
Péter Domokos, István Majzik