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COLING
2010
15 years 1 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...
APSEC
2005
IEEE
16 years 14 days ago
Model-Driven Semantic Web Service Composition
As the number of available Web services increases there is a growing demand to realise complex business processes by combining and reusing available Web services. The reuse and co...
Roy Grønmo, Michael C. Jaeger
198
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ICIP
2005
IEEE
16 years 13 days ago
Object representation using colour, shape and structure criteria in a binary partition tree
Binary Partition Trees (BPTs) are a well known technique used for region-based image representation and analysis. BPTs are usually created as a result of a merging process based o...
Christian Ferran Bennström, Josep R. Casas
NECO
2000
86views more  NECO 2000»
15 years 6 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
FORTE
2009
15 years 4 months ago
The Orc Programming Language
Orc was originally presented as a process calculus. It has now evolved into a full programming language, which we describe in this paper. The language has the structure and feel of...
David Kitchin, Adrian Quark, William R. Cook, Jaya...