Land-surface parameters derived from digital land surface models (DLSMs) (for example, slope, curvature, topographic position, roughness, aspect, heat load index, and moisture index) can serve as key predictor variables in a wide variety of mapping modeling tasks relating to geomorphic processes, landform delineation, ecological habitat characterization, geohazard, soil, wetland, general themat...

The Data Abstraction Research Group was formed in the early 1990s, to bring focus to the work of the Mathematical Sciences Department in the emerging area of knowledge discovery and data mining (KD & DM). Most activities in this group have been performed in the technical area of predictive modeling, roughly at the intersection of machine learning, statistical modeling, and database technology. ...

We describe and analyze the idea of data-enhanced predictive modeling (DEM). The term “enhanced” here refers to the case that the data used for modeling is sampled not from the true target population, but from an alternative (closely related) population, from which much larger samples are available. This leads to a “bias-variance” tradeoff, which implies that in some cases, DEM can improve pred...

Predictive incremental parsing produces syntactic representations of sentences as they are produced, e. g. by typing or speaking. In order to generate connected parses for such unfinished sentences, upcoming word types can be hypothesized and structurally integrated with already realized words. For example, the presence of a determiner as the last word of a sentence prefix may indicate that a n...

In product design, designers often generate a large number of concepts in the form of sketches and drawings to develop and communicate their ideas. Concrete concepts typically evolve through a progressive refinement of initially coarse and ambiguous ideas. However, a lack of suitable means to visualize the emerging form at these early stages forces the designer to constantly maintain and negoti...

Because sensation is delayed, real-time movement control requires not just sensing, but also predicting limb position, a function hypothesized for the cerebellum. Such cerebellar predictions could contribute to perception of limb position (i.e., proprioception), particularly when a person actively moves the limb. Here we show that human cerebellar patients have proprioceptive deficits compared ...

Distribution Extents (DE) of order k for a sample {x1, x2,... xn} of a non-negative stochastic variable X can be defined as

This chapter presents an adaptive predictive model for a student modeling prediction task in the context of an adaptive educational hypermedia system (AEHS). The task, that consists in determining what kind of learning resources are more appropriate to a particular learning style, presents two issues that are critical. The first is related to the uncertainty of the information about the student...

Fluvial and coastal environment (1) HydroTrend3.0: a climate-driven hydrological transport model that simulates discharge and sediment load leaving a river system: A.J. Kettner (Delft U. Technology) and J.P.M. Syvitski (INSTAAR) (2) Geolocation of man-made reservoirs across terrains of varying complexity using GIS. D.M. Mixon (INSTAAR), D.A. Kinner (Western Carolina U.), R.F. Stallard USGS), an...

In the design phase of business and software system development, it is desirable to predict the properties of the system-to-be. Existing prediction systems do, however, not allow the modeler to express uncertainty with respect to the design of the considered system. In this paper, we propose a formalism, the Predictive, Probabilistic Architecture Modeling Framework (PAMF), capable of advanced a...