Therefore, it is natural to adopt machine learning approach into the knowledge-oriented controllers to enhance their performance and minimize tedious parameter tunings.
This article presents an overview of the SmartSite research project that adopts machine learning, decision theory and distributed artificial intelligence to design and test a multi-agent system (MAS) for asphalt road construction.
Perhaps such automatically generated software might be assembled from existing tools [ 22] and proved valuable, even where people choose not to adopt machine generated software but instead use it as a guide as to what is feasible before the Human starts coding.
In specifying the nature of mental kinds, many functionalists followed Putnam (and Fodor) by adopting "Turing machine functionalism": mental kinds are identical to the computational kinds of a suitably programmed universal Turing machine.
Adopting a machine learning approach, we represent this prediction problem as a regression task in which the model is first trained, and then it is used to estimate the real flows, (mathbf{Y}_{{r}}) or (mathbf{Y}_{{c}}), which are the so called target values.
Maryland is adopting the machines for elections.
So too was adopting a machine-like approach of pushing out a message of Coalition failings.
In the present-age pattern classification problems, the support vector machines (SVMs) have been extensively adopted as machine learning tools.
QPALMA adopts the machine learning strategy and trains support vector machines for site identification using known splice sites.
