Sentence examples for rules sum from inspiring English sources
Five fixed fusion rules (sum, min, max, median, and product) and two trained rules (the support vector machines and weighted averaging of scores) are considered.
In the first group of experiments, we compared the fixed combination rules (Sum, Product, Min, Max, and Median) in which all the classifiers are deemed to carry the same weight.
The budget constraints are used in constructing portfolio rules and the resulting portfolio rules sum over agents to one for risky assets and to zero for the risk-free assets.
Many data fusion techniques such as median rule, sum rule, max rule, product rule, and majority voting and also feature vector fusion as a source fusion technique have been employed to improve the recognition performance.
If rule (Sum(_1)) is the last rule applied to derive transition (p {{{,mathop {longrightarrow }limits ^{sigma }}}} p'), then (p = p_1 + p_2) and (p_1 {{{,mathop {longrightarrow }limits ^{sigma }}}} p').
This rule requires that the premise transition ({p} {{{,mathop {longrightarrow }limits ^{sigma }}}} m) be derivable by the rules, starting form the sequential process p. Rule (sum(_1)) and its symmetric (sum(_2)) are as expected: the transition from place (p + p') are those from places p and (p'), as both p and (p') are sequential.
Decisions such as whether to use a majority rule or sum rule or what type of scores judges can assign also affect the optimal number of judges.
We have calculated the real (ε 1) and imaginary (ε 2) parts of the dielectric functions via Fermi's Golden rule summing over transition matrix elements.
The Golden Rule sums up respect––"treat others as you would wish to be treated".
These results clearly demonstrated that among the adopted fixed rules, the Sum rule outperforms the others for both manually and automatically registered data.
The basic idea has been formulated in some recent publications, which also proposed different combination rules to sum up the damage of each narrow frequency band.
