We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...
Nikita A. Sakhanenko, Roshan Rammohan, George F. L...
: This paper shows how architecture description languages can be tailored to the design of embedded automotive control software. Furthermore, graphical modeling means are put in an...
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
e instantiation is the transformation of abstract test cases cutable test scripts. Abstract test cases are either created during model based test case generation or are manually d...
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...