For that purpose, a domain has been specified, which may contain the class of signals maximizing the error criterion assumed.
There are actually several methods: maximizing a robustness criterion [6, Section 5.1.3], maximizing the detection score [1], or maximizing the error exponent [7].
The between-class discrimination is enforced by maximizing the error between the discriminant components of the two classes (see arrow III in Fig. 2).
While the former is important to maximize the error recovery mechanisms of the transport protocol, the latter is essential to leverage the potential benefits of the caching mechanism.
The most used are error-prone PCR, which maximize the error rate of DNA polymerase during the PCR reaction [ 74, 75] and DNA shuffling, which consists in digesting a gene with endonucleases creating a pool of random DNA fragments that can be reassembled into a full-length gene.
Although this rule tends to select channels and synapses in layer 1 that maximize the errors of layer 2 in predicting layer 1 output, it would tend to minimize the errors in the estimates of future reward by each of the two layers.
It's dysfunctional because in the age of information technology it's still paper-based, so it maximizes the problems of errors and inaccuracies and inefficiencies.
The uncertain initial conditions and disturbances due to intrinsic and extrinsic molecular noises on the host cell are considered as a player maximizing the regulation error and the design parameters are considered as another player minimizing the regulation error.
However, we conservatively chose the longest list to maximize the measured error.
We also compare with an alternative model that instead of minimizing the mean squared error maximizes the probability of being correct and can exclude this model based on the presented evidence.
Note that IRC both minimizes the mean square error and maximizes the SINR at the detection point [23].
