A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted distance. The local weighting of the distance accounts for the variation in local scaling...
Health--Information resources; Health--Information services; Information networks
Background: Failure to achieve their goals of over 200 U.S. Health Information Exchange Networks (HIENs) which formed or operated in the U.S. from 2004 to 2010, lost time, capital and opportunity at individual, organizational and societal levels,...
Representing the complex data in a concise and accurate way is a special stage in data mining methodology. Redundant and noisy data affects generalization power of any classification algorithm, undermines the results of any clustering algorithm and...
Autistic children--Rehabilitation; Social skills in children; Autistic children--Behavior modification; Group work in education; Peer-group tutoring of students
Social reciprocity deficits are a core feature of the autism spectrum disorders (ASD) and a major source of impairment regardless of cognitive or language ability (Carter, Davis, Klin, & Volkmar, 2005). Since these impairments do not naturally...
The classification of self-dual codes has been an extremely active area in
coding theory since 1972 [33]. A particularly interesting class of self-dual codes
is those of Type II which have high minimum distance (called extremal or...
Church buildings--Spain; Church architecture--Spain; Spain--History--711-1516
This dissertation examines the architectural evidence in the ongoing debate surrounding the demographical and political value of the shifting Iberian frontier of the tenth through twelfth centuries. In particular, it seeks to problematize the...
Computer-assisted instruction; Three-dimensional imaging; Neuroanatomy--Study and teaching (Higher)
Visualizations in the form of computer-based learning environments are highly
encouraged in science education, especially for teaching spatial material. Some spatial
material, such as sectional neuroanatomy, is very challenging to learn. It...