While lower supply voltage is effective for energy reduction, it suffers performance loss. To mitigate the loss, we propose to execute only the part, which does not have any influ...
Many problems from artificial intelligence can be described as constraint satisfaction problems over finite domains (CSP(FD)), that is, a solution is an assignment of a value to ...
Alvaro Ruiz-Andino, Lourdes Araujo, Fernando S&aac...
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
One of the most novel features in the functional programming language Haskell is the system of type classes used to support a combination of overloading and polymorphism. Current ...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...