The aphorism “All models are wrong but some are useful” (Box, 1978) sums up much of what ML is about. The assumptions we make in the Naive Bayes approach to sentimanet classification are wrong, but this is true of the assumptions made in all current formal models of human language (statistical or otherwise), with the possible exception of a few which are very restricted indeed. However, the que...

Scheduling is one of the most successful application areas of constraint programming and, recently, many scheduling problems were modelled and solved by means of constraints. Most of these models confine to a conventional formulation of a constraint satisfaction problem that requires all the variables and the constraints to be specified in advance. However, many application areas like complex p...

Alternative specifications of univariate asymmetric Laplace models are described and investigated. A more general mixture model is then introduced. Bivariate extensions of these models are discussed in some detail, with particular emphasis on associated parameter estimation strategies. Multivariate versions of the models are briefly introduced.

“All models are wrong but some are useful" [1]. We address the problem of identifying which diagnosis models are more useful than others. Models are critical to diagnostics inference, yet little work exists to be able to compare models. We define the role of models in diagnostics inference, propose metrics for models, and apply these metrics to a tank benchmark system. Given the many approaches...

Project scheduling problem is to determine the schedule of allocating the loans to a project in order to balance the total cost and the completion time of the project under some constraints. This paper considers project scheduling problem in an uncertain environment, of which the duration time of each activity is an uncertain variable. Then uncertain chance-constrained programming model is cons...

Resource constrained project scheduling problem (RCPSP) is mainly investigated with the objective of either minimizing project makespan or maximizing project net present value. However, when material planning plays a key role in a project, the existing models cannot help determining material ordering plans to minimize material costs. In this paper, the RCPSP incorporated with the material order...