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NIPS
2008
14 years 11 months ago
Bayesian Kernel Shaping for Learning Control
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...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
SPLC
2008
14 years 11 months ago
Reconciling Automation and Flexibility in Product Derivation
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...
61
Voted
CSDA
2007
101views more  CSDA 2007»
14 years 10 months ago
The evaluation of evidence for exponentially distributed data
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...
73
Voted
CG
2005
Springer
14 years 10 months ago
Combining SP-Octrees and impostors for the visualisation of multiresolution models
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...
90
Voted
EL
2002
181views more  EL 2002»
14 years 10 months ago
Aspects of networking in multiplayer computer games
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...
Jouni Smed, Timo Kaukoranta, Harri Hakonen