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» Approximate convex decomposition
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ESANN
2007
14 years 11 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
EOR
2006
87views more  EOR 2006»
14 years 9 months ago
Applying machine based decomposition in 2-machine flow shops
The Shifting Bottleneck (SB) heuristic is among the most successful approximation methods for solving the Job Shop problem. It is essentially a machine based decomposition procedu...
Saral Mukherjee, A. K. Chatterjee
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
15 years 10 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...
ICPP
2005
IEEE
15 years 3 months ago
Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism
We consider the filter decomposition problem in supporting coarse-grained pipelined parallelism. This form of parallelism is suitable for data-driven applications in scenarios wh...
Wei Du, Gagan Agrawal
TVCG
2008
140views more  TVCG 2008»
14 years 9 months ago
Efficient Morse Decompositions of Vector Fields
Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing ...
Guoning Chen, Konstantin Mischaikow, Robert S. Lar...