Sciweavers

1991 search results - page 45 / 399
» Small Models of Large Machines
Sort
View
UAI
2008
14 years 11 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
MLDM
2007
Springer
15 years 3 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
PADS
2004
ACM
15 years 3 months ago
Conservative Synchronization of Large-Scale Network Simulations
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...
WAN
1998
Springer
15 years 1 months ago
Performance Analysis of Wavefront Algorithms on Very-Large Scale Distributed Systems
We present a model for the parallel performance of algorithms that consist of concurrent, two-dimensional wavefronts implemented in a message passing environment. The model combine...
Adolfy Hoisie, Olaf M. Lubeck, Harvey J. Wasserman
CEC
2005
IEEE
15 years 3 months ago
Fast evolution of custom machine representations
Described are new approaches for evaluating computer program representations for use in automated search methodologies such as the evolutionary design of software. Previously, prog...
Lorenz Huelsbergen