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» Structured Learning of Component Dependencies in AmI Systems
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KBSE
2008
IEEE
14 years 4 days ago
Using Cluster Analysis to Improve the Design of Component Interfaces
For large software systems, interface structure has an important impact on their maintainability and build performance. For example, for complex systems written in C, recompilatio...
Rahmat Adnan, Bas Graaf, Arie van Deursen, Joost Z...
ACL
2010
13 years 3 months ago
A Structured Model for Joint Learning of Argument Roles and Predicate Senses
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto
JMLR
2011
187views more  JMLR 2011»
13 years 21 days ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
TSD
2000
Springer
13 years 9 months ago
Automatic Functor Assignment in the Prague Dependency Treebank
The aim of this paper is to describe and evaluate a system that automates a part of the transition from analytical to tectogrammatical tree structures within the Prague Dependency...
Zdenek Zabokrtský
JMLR
2002
90views more  JMLR 2002»
13 years 5 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...