Human light chain genes are used in a kappa before lambda order. Accompanying this hierarchy is the rearrangement of a kappa-deleting element (Kde) which eliminates the kappa locus before lambda gene rearrangement. In approximately 60% of rearrangements the Kde recombines at a conserved heptamer within the J kappa-C kappa intron. We demonstrated that aberrant V/J rearrangements possessing appar...

While robust parameter estimation has been well studied in parametric density estimation, there has been little investigation into robust density estimation in the nonparametric setting. We present a robust version of the popular kernel density estimator (KDE). As with other estimators, a robust version of the KDE is useful since sample contamination is a common issue with datasets. What “robus...

data types geospatial data modeling, database perspective. Voisard, A., + , T-KDE Mar-Apr 02 226-243 Abstract data types; cf. Inheritance Active databases act. database trigger condition testing and view maint. using optimized discrim. networks. Hanson, E.N., + , T-KDE Mar-Apr 02 261-280 real-time act. database systs. concurrency control. Datta, A., + , T-KDE May-Jun 02 465-484 Administrative d...

The Kernel Density Estimate (KDE) is a non-parametric density estimate which has broad application in computer vision and pattern recognition. In particular, the Mean Shift procedure uses the KDE structure in order to cluster or segment data, including images and video. The usefulness of these twin techniques – KDEs and Mean Shift – on large datasets is hampered by the large space or descriptio...

In numerous psychological experiments, participants classify stimuli by pressing response keys. According to Lakens, Schneider, Jostmann, and Schubert (2011), classification performance is affected by physical distance between response keys--indicating a cognitive tendency to represent categories in spatial code. However, previous evidence for a key distance effect (KDE) from a color-naming Str...

INTRODUCTION Youth Excel was a 3-year pan-Canadian initiative to advance youth health through improving knowledge development and exchange (KDE) capacity. KDE capacity refers to an improvement cycle linking evidence and action. Capacities include local surveillance of youth behaviours; knowledge exchange; skills, resources and a supportive environment to use knowledge; and evaluation. METHODS...

Utilization distributions (UDs) can be used to describe with what intensity an animal or human may use a certain geographical location within the environment it is living in. Such a density distribution model represents one way to describe and obtain an animals’ home range in wildlife ecology. Several methods to derive UDs and subsequently home ranges have been developed, for instance Kernel De...

Sperling, Landy, Dosher, and Perkins (1989) proposed an objective 3D shape identification task with 2D artifactual cues removed and with full feedback (FB) to the subjects to measure KDE and to circumvent algorithmically equivalent KDE-alternative computations and artifactual non-KDE processing. (1) The 2D velocity flow-field was necessary and sufficient for true KDE. (2) Only the first-order (...

Estimates of utilization distributions (UDs) are used in analyses of home-range area, habitat and resource selection, and social interactions. We simulated data from 12 parent UDs, representing 3 series of increasingly intense space-use patterns (clustering of points around a home site, restriction of locations to a network of nodes and corridors, and dominance of a central hole in the UD) and ...