the relationship between topography, land use, and topsoil moisture storage is investigated for a small catchment with undulating deep loess hilslopes in the south of the netherlands. for a period of 10 months, soil moisture profiles have been measured weekly at 15 locations throughout the catchment. a generalized additive model was employed to find relationships between the various factors inf...

We present a dynamic programming algorithm for efficient constrained inference in semantic role labeling. The algorithm tractably captures a majority of the structural constraints examined by prior work in this area, which has resorted to either approximate methods or off-theshelf integer linear programming solvers. In addition, it allows training a globally-normalized log-linear model with res...

this study compared the use of five different models to describe the growth from birth to 20 weeks of age of kids from both genders of nondescript goats. fifty nine (59) nondescript kids were weighed weekly at the university of maiduguri livestock teaching and research farm, nigeria and the live weights were modeled. biologically relevant variables were estimated for each kid from the logistic,...

The bidirectional texture function (BTF) has proven a valuable model for the representation of complex spatiallyvarying material reflectance. Its image-based nature, however, makes material BTFs extremely cumbersome to acquire: in order to adequately sample high-frequency details, many thousands of images of a given material as seen and lit from different directions have to be obtained. Additio...

A spatial analysis of variance uses the spatial dependence among the observations to modify the usual interference procedures associated with a statistical linear model. When spatial correlation is present, the usual tests for presence of treatment effects may no longer be valid, and erroneous conclusions may result from assuming that the usual F ratios are F distributed. This is demonstrated u...

We present a Bayesian approach for modeling multivariate, dependent functional data. To account for the three dominant structural features in the data—functional, time dependent, and multivariate components—we extend hierarchical dynamic linear models for multivariate time series to the functional data setting. We also develop Bayesian spline theory in a more general constrained optimization fr...

satellite data have been used for temperature modeling both in urban areas and water. this paperstudies viability of aster satellite images that provide high spatial and spectral resolution to model watersurface temperature, as a fundamental water quality parameter. this study is focused on dez dam reservoirresiding in khuzestan province, south west of iran. after the image corrections required...

This paper attempts to theoretically understand the process of catching-up or falling behind particularly within the context of developing countries. The main aim of the paper consists in investigating the impact of domestic innovation, via its interaction with the learning capability, on the technology gap of an economy. More specifically, we seek to shed some light on why the tendency for poo...