In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Product derivation, i.e. reusing core assets to build products, did not receive sufficient attention from the productline community, yielding a frustrating situation. On the one h...
Gilles Perrouin, Jacques Klein, Nicolas Guelfi, Je...
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
Space-Partition Octree (SP-Octree) is a hierarchical representation scheme for solid modelling. It allows a multiresolution representation of polyhedral objects, and has been succ...
Francisco J. Melero, Pedro Cano, Juan Carlos Torre...
Distributed, real-time multiplayer computer games (MCGs) are in the vanguard of utilizing the networking possibilities. Although related research have been done in military simulat...