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» CASE Support for the Software Process: Advances and Problems
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ICASSP
2010
IEEE
13 years 7 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
ICASSP
2011
IEEE
13 years 17 days ago
Improved thresholds for rank minimization
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
CSMR
2007
IEEE
14 years 3 months ago
Monitoring Requirements Evolution using Views
This paper describes a research project concentrating on improving requirements management. We started this research by identifying the problems companies face with respect to req...
Marco Lormans
RE
1995
Springer
14 years 11 days ago
Managing inconsistencies in an evolving specification
In an evolving specification, considerable development time and effort is spent handling recurrent inconsistencies. Tools and techniques for detecting and resolving inconsistencie...
Steve M. Easterbrook, Bashar Nuseibeh
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler