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» Associativity between feature models across domains
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SOCO
2010
Springer
13 years 5 months ago
Managing Variability in Workflow with Feature Model Composition Operators
Abstract. In grid-based scientific applications, building a workflow essentially involves composing parameterized services describing families of services and then configuring the ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
NIPS
2000
13 years 9 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
DIS
2005
Springer
14 years 1 months ago
Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
Tuangthong Wattarujeekrit, Nigel Collier
AAAI
2008
13 years 10 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
EDOC
2005
IEEE
14 years 1 months ago
An Aspect Oriented Model Driven Framework
In model driven development (MDD), specifying transformations between models at various levels of ion can be a complex task. Specifying transformations for pervasive system featur...
Devon M. Simmonds, Raghu Reddy, Robert B. France, ...