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» Self-Explanatory Simulations: Scaling Up to Large Models
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TOG
2008
89views more  TOG 2008»
14 years 9 months ago
Continuation methods for adapting simulated skills
Modeling the large space of possible human motions requires scalable techniques. Generalizing from example motions or example controllers is one way to provide the required scalab...
KangKang Yin, Stelian Coros, Philippe Beaudoin, Mi...
ARC
2009
Springer
175views Hardware» more  ARC 2009»
15 years 4 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
WSC
2001
14 years 11 months ago
Chessboard distributions
We review chessboard distributions for modeling partially specified finite-dimensional random vectors. Chessboard distributions can match a given set of marginals, a given covaria...
Soumyadip Ghosh, Shane G. Henderson
CIKM
2009
Springer
15 years 4 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec
PADS
2006
ACM
15 years 3 months ago
A Framework for Robust HLA-based Distributed Simulations
The High Level Architecture (HLA) is a standard for the interoperability and reuse of simulation components, referred to as federates. Large scale HLA-compliant simulations are bu...
Dan Chen, Stephen John Turner, Wentong Cai