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WSC
2007
14 years 8 days ago
Ant-based approach for determining the change of measure in importance sampling
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
Poul E. Heegaard, Werner Sandmann
COMCOM
2006
96views more  COMCOM 2006»
13 years 10 months ago
Design and implementation of a dynamic protocol framework
-- Future distributed applications are expected to be deployed in an environment that is more dynamic and heterogeneous than ever before. The environment features are difficult to ...
Liming An, Hung Keng Pung, Lifeng Zhou
JITECH
2010
116views more  JITECH 2010»
13 years 8 months ago
Design theory for dynamic complexity in information infrastructures: the case of building internet
We propose a design theory that tackles dynamic complexity in the design for Information Infrastructures (IIs) defined as a shared, open, heterogeneous and evolving socio-technica...
Ole Hanseth, Kalle Lyytinen
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 5 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
TOG
2012
215views Communications» more  TOG 2012»
12 years 12 days ago
Dual loops meshing: quality quad layouts on manifolds
We present a theoretical framework and practical method for the automatic construction of simple, all-quadrilateral patch layouts on manifold surfaces. The resulting layouts are c...
Marcel Campen, David Bommes, Leif Kobbelt