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Redeeming Data Science by Decision Modelling
With the explosion of applications of Data Science, the field is has come loose from its foundations.
Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting
The features in many prediction models naturally take the form of a hierarchy.
The structure of Bayes nets for vision recognition
This paper is part of a study whose goal is to show the effciency of using Bayes networks to carry out model based vision calculations.
Model-based Influence Diagrams for Machine Vision
We show an approach to automated control of machine vision systems based on incremental creation and evaluation of a particular family of influence diagrams that represent hypotheses of imagery interpretation and possible subsequent processing decisions.
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