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SPLC
2010
13 years 5 months ago
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...
NAACL
2010
13 years 5 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
ICDAR
2011
IEEE
12 years 7 months ago
A Generative Model for Handwritings Based on Enhanced Feature Desynchronization
—A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of
Seiichi Uchida, Toru Sasaki, Yaokai Feng
INTERSPEECH
2010
13 years 2 months ago
Modeling pronunciation variation with context-dependent articulatory feature decision trees
We consider the problem of predicting the surface pronunciations of a word in conversational speech, using a model of pronunciation variation based on articulatory features. We bu...
Sam Bowman, Karen Livescu
JSS
2010
136views more  JSS 2010»
13 years 2 months ago
Automated diagnosis of feature model configurations
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
Jules White, David Benavides, Douglas C. Schmidt, ...