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» Predictive Matrix-Variate t Models
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ICASSP
2009
IEEE
15 years 7 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
116
Voted
COMPSAC
2008
IEEE
15 years 7 months ago
Implicit Social Network Model for Predicting and Tracking the Location of Faults
— In software testing and maintenance activities, the observed faults and bugs are reported in bug report managing systems (BRMS) for further analysis and repair. According to th...
Ing-Xiang Chen, Cheng-Zen Yang, Ting-Kun Lu, Hojun...
78
Voted
COMPSAC
2009
IEEE
15 years 5 months ago
Modeling and Predicting Software Failure Costs
—For software, the costs of failures are not clearly understood. Often, these costs disappear in the costs of testing, the general developments costs, or the operating expenses. ...
Michael Grottke, Christian A. Graf
82
Voted
CSDA
2008
77views more  CSDA 2008»
15 years 21 days ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis
92
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COLING
2010
14 years 7 months ago
Latent Mixture of Discriminative Experts for Multimodal Prediction Modeling
During face-to-face conversation, people naturally integrate speech, gestures and higher level language interpretations to predict the right time to start talking or to give backc...
Derya Ozkan, Kenji Sagae, Louis-Philippe Morency