SYNTHESE
2008
13 years 4 months ago
2008
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an "...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
MFCS
2001
Springer
13 years 9 months ago
2001
Springer
In this paper we consider the question of whether NC0 circuits can generate pseudorandom distributions. While we leave the general question unanswered, we show • Generators compu...