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ESSMAC
2003
Springer
15 years 12 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
SIGECOM
2006
ACM
135views ECommerce» more  SIGECOM 2006»
16 years 17 days ago
Finding equilibria in large sequential games of imperfect information
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
Andrew Gilpin, Tuomas Sandholm
DCC
2003
IEEE
16 years 6 months ago
Compression-Domain Editing of 3D Models
3D models have become an essential element of multimedia applications because they provide visual effects that permit interactive exploration. As in other media types, efficient c...
Tulika Mitra, Tzi-cker Chiueh
IEEEPACT
2009
IEEE
16 years 1 months ago
Automatic Tuning of Discrete Fourier Transforms Driven by Analytical Modeling
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
ACHI
2009
IEEE
16 years 1 months ago
A Model-Driven Development Approach Focusing Human Interaction
Human interaction like entering some data, making decisions etc. has to be dealt with as an integral part of today’s business processes and the supporting IT likewise. Hence, hu...
Stefan Link, Philip Hoyer, Tilmann Kopp, Sebastian...