—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
According to the special features of the dynamic heterogeneous grid environment, a loose-coupled and scalable resource model is described by a hybrid multi-level tree reflecting a...
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...
: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
Sandip Roy, George C. Verghese, Bernard C. Lesieut...
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...