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» Predictive Matrix-Variate t Models
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RE
2005
Springer
16 years 13 days ago
Modelling Assumptions and Requirements in the Context of Project Risk
The importance of assumptions in Requirements Engineering has long been recognised. However, to the best of our knowledge, no quantitative models for the relation between assumpti...
Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Da...
CSCW
2004
ACM
16 years 12 days ago
BusyBody: creating and fielding personalized models of the cost of interruption
Interest has been growing in opportunities to build and deploy statistical models that can infer a computer user’s current interruptability from computer activity and relevant c...
Eric Horvitz, Paul Koch, Johnson Apacible
UIST
2003
ACM
16 years 6 days ago
Rhythm modeling, visualizations and applications
People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling t...
James Begole, John C. Tang, Rosco Hill
ESSMAC
2003
Springer
16 years 5 days ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
WOSP
2000
ACM
15 years 11 months ago
A pattern-based approach to model software performance
In this paper we present a formal approach to analyse performance for distributed systems, which is integrated in the early stages of the software development process. We propose ...
José Merseguer, Javier Campos, Eduardo Mena