The emergence of multicore processors has heightened the need for effective parallel programming practices. In addition to writing new parallel programs, the next generation of pr...
William Thies, Vikram Chandrasekhar, Saman P. Amar...
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
The ability to query data streams is of increasing importance and has been identified as a crucial element for modern organizations and agencies. This paper identifies a class o...