Let (gin mathcal {K}_p) be the adding machine defined as the automorphism of the tree (X^*) acting by the rule begin{aligned} g(x_1, x_2, ldots, x_n)=left{ begin{array}{l@{quad }l} (x_1+1, x_2, ldots, x_n) & 0le x_1le p-2, (0, g(x_2, ldots, x_n)) & x_1=p-1.end{array}right.
It provides the definition of a finite state machine and explains the way a state machine is defined as a Mealy machine or a Moore machine.
The quantity R, known as the expected risk, associated with learning machines is defined as: (8) R = ∫ 1 2 | y - f (x, α ) | p (x, y ) d x d y where, p x, y) is an unknown probability density function from which the examples were drawn.
A new concept of machine design from a viewpoint of tribology is therefore necessary: "Tribologically-based machine design, defined as design of the overall system based on to achive ultimate tribological performance" in addition to the more conventional "design of a reliable mechanical element based on tribological understanding".
In this work, the accuracy of the machine is defined as the mean error vector measured in the entire working volume of the machine.
Tomcar managing director Mark Alber says the machine is defined as much by what it has as by what it lacks.
A state machine is defined as an algorithm that can be in one of a small number of states.
Hence, MSE of committee machine is defined as: E CM = ξ O CM - T 2 = ξ 1 K ∑ i = 1 K O i - T 2 = ξ 1 K ∑ i = 1 K e i 2 (6).
The percentage of machine utilization is defined as the total machine workload in terms of time divided by total machine's available time in a period.
Americans designed the first machines that were defined as supercomputers during the 1960s, and the United States has rarely been dislodged from its controlling position as technology leader.
