Modelling continuous data

Modelling Patterns in Continuous Streams of Data

The untapped source of information, extracted from the increasing number of sensors, can be explored to improve and optimize several systems. Yet, hand in hand with this growth goes the increasing difficulty to manage and organize all this new information. The lack of a standard context representation scheme is one of the main struggles in this research area. Conventional methods for extracting...

GROWTH MODELLING OF SCHOOL CHILDREN IN IRAN USING SHIRAZ DATA

Centile values and growth charts for height, weight and arm circumference are presented for school children aged six to 12 years in Shiraz (Iran). The smooth centile values have been derived from the raw data by Healy's nonparametric method. Girls grow faster than boys. Homogeneity of data with population structure and universal rationing imply that these norms are likely to be appropriate...

PDDL+ : Modelling Continuous Time-dependent Effects

The adoption of a common formalism for describing planning domains fosters far greater reuse of research and allows more direct comparison of systems and approaches, and therefore supports faster progress in the field. A common formalism is a compromise between expressive power (in which development is strongly driven by potential applications) and the progress of basic research (which encourag...

Continuous-Time Modelling with Spatial Dependence

(Spatial) panel data are routinely modelled in discrete time (DT). However, there are compelling arguments for continuous time (CT) modelling of (spatial) panel data. Particularly, most social processes evolve in CT, so that statistical analysis in DT is an oversimplification, gives an incomplete representation of reality and may lead to misinterpretation of estimation results. The most compell...

Three-dimensional rule based continuous soil modelling