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» Improving on Expectation Propagation
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NIPS
2001
14 years 11 months ago
TAP Gibbs Free Energy, Belief Propagation and Sparsity
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...
Lehel Csató, Manfred Opper, Ole Winther
79
Voted
ICTAI
2005
IEEE
15 years 3 months ago
Improving Lotos Simulation Using Constraint Propagation
Lotos is the ISO formal specification language for describing and verifying concurrent and distributed systems. The simulation or execution of complex Lotos specifications is, h...
Malek Mouhoub, Samira Sadaoui
FPGA
1997
ACM
118views FPGA» more  FPGA 1997»
15 years 1 months ago
Improving Functional Density Through Run-Time Constant Propagation
Circuit specialization techniques such as constant propagation are commonly used to reduce both the hardware resources and cycle time of digital circuits. When recon gurable FPGAs...
Michael J. Wirthlin, Brad L. Hutchings
SIBGRAPI
2007
IEEE
15 years 3 months ago
Visually Improved Understanding of Three-Dimensionally Propagating Electromagnetic Fields in Wireless Networks
Visualizations are highly valuable in improving the understanding, as well as the analysis of a variety of physical phenomena. Two such applications can be as a pedagogical tool f...
J. Eskil Bendz, Hilton G. Fernandes, Marcelo Kn&ou...
80
Voted
BIOSYSTEMS
2007
82views more  BIOSYSTEMS 2007»
14 years 9 months ago
Homeostatic plasticity improves signal propagation in continuous-time recurrent neural networks
Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node ...
Hywel T. P. Williams, Jason Noble