Browsing by Subject "Bayesian"
Now showing items 1-4 of 4
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Composable Probabilistic Inference with Blaise
(2008-07-23)Probabilistic inference provides a unified, systematic framework for specifying and solving these problems. Recent work has demonstrated the great value of probabilistic models defined over complex, structured domains. ...
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Exploring nonlinear regression methods, with application to association studies
(University of CambridgeDepartment of Applied Mathematics and Theoretical PhysicsSt. Catharine's College, 2011-07-12)The field of nonlinear regression is a long way from reaching a consensus. Once a method decides to explore nonlinear combinations of predictors, a number of questions are raised, such as what nonlinear combinations to ...
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Generalised Bayesian matrix factorisation models
(University of CambridgeDepartment of EngineeringSt John's College, 2011-03-15)Factor analysis and related models for probabilistic matrix factorisation are of central importance to the unsupervised analysis of data, with a colourful history more than a century long. Probabilistic models for matrix ...
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Probability of Wellbore Failure and its Prediction Using Machine Learning
(AUST, 2019-06-09)Wellbore instability (WI) is one of the major challenges experienced during drilling operations costing the oil and gas industry over $1 billion yearly. During the drilling, borehole breakout and drilling induced fractures ...