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NIPS
2004
14 years 11 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
MFCS
1992
Springer
15 years 1 months ago
1992
Springer
In this paper we survey the major developments in understanding the complexity of the graph connectivity problem in several computational models, and highlight some challenging op...
SMA
2005
ACM
15 years 3 months ago
2005
ACM
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
ICCS
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
COMPLEXITY
2006
14 years 10 months ago
2006
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...