First, the sets of organisms used in the pilot study were not well chosen to explore the effects of taxonomic distance on response level.
The main characteristic of this new optimization approach consists of considering both controllable (xi) and noise (zi) variables of the hard turning process to find out the parameter levels which minimize the distance of each response (yi) from its respective targets (Ti) while keeps each variance caused by the noise variables as low as possible.
Table 1 shows how the inhibitory LN input changed the performance of binary SVM classifiers, the distance of mean responses, and the mean variance of responses for all possible pairs of odors.
To enable the responses to different odors to be separated, the distance of mean responses should be large and the mean variance of responses should be low.
In 76% of cases within this category, the distance of mean responses was increased while the mean variance of responses was decreased, which are both beneficial for odor discrimination.
In contrast, procaine injected into the SupEG slightly increased spontaneous walking (4.2±0.9 min before injection and 5.9±2.8 min afterwards, p = 0.21) and did not affect the distance of escape responses (30 cm before injection and 30 cm afterwards).
The anesthetic treatment significantly decreased spontaneous walking duration from 4.4±0.6 min to 0.4±0.7 min during a 10-min trial, with the distance of escape responses dropping from 30 cm before the injection to 2±4 cm afterwards.
Three experiments examined the influence of distance between response keys (and hands) on the Stroop effect obtained for two-choice tasks in which stimulus colors were identified with keypresses.
We also define as user satisfaction SA c, the normalised distance of the network response time R c from the maximum value of the response time R c max to the interval of the maximum response time minus the minimum response time R c min. Therefore, user satisfaction is analysed as follows, based on the work [1]: S A c = R c max - R c R c max - R c min (1).
The TMTR code matched to the partial response channel can delete some dominant error events and enhance the Euclidian distance of the partial response channel to the matched filter bound.
Since the average distance of concept in response from the concepts in question is inversely proportional to similarity, thus AvgDist are used inversely in calculating score for users.
