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» Modeling Redundancy: Quantitative and Qualitative Models
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SPLC
2010
13 years 10 months ago
Evolution of the Linux Kernel Variability Model
Abstract. Understanding the challenges faced by real projects in evolving variability models, is a prerequisite for providing adequate support for such undertakings. We study the e...
Rafael Lotufo, Steven She, Thorsten Berger, Krzysz...
BIRTHDAY
2009
Springer
14 years 3 months ago
Reasoning About Alternative Requirements Options
This paper elaborates on some of the fundamental contributions made by John Mylopoulos in the area of Requirements Engineering. We specifically focus on the use of goal models and ...
Axel van Lamsweerde
AAAI
1990
13 years 10 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
CSL
2000
Springer
13 years 8 months ago
Pronunciation modeling by sharing Gaussian densities across phonetic models
Conversational speech exhibits considerable pronunciation variability, which has been shown to have a detrimental effect on the accuracy of automatic speech recognition. There hav...
Murat Saraclar, Harriet J. Nock, Sanjeev Khudanpur
BMCBI
2007
167views more  BMCBI 2007»
13 years 9 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk