Both groups of bees learned to respond to the rewarded odorant during training, irrespective of the presence or absence of electric shocks during conditioning (Fig. 4; F5,390 = 33.18, p<0.0001).
In our study, we applied and evaluated different data preprocessing approaches, attribute selector techniques, and machine learning algorithms, some of them representing groups of learning algorithms.
An exam (containing, for example, the diagnosis of selected patient cases) will be performed comparing two groups of learning radiologists, of which only one will use the IRMAdiag trainer.
Regardless of the race of the input faces, fixation strategies deployed by both groups of observers during learning and recognition were consistent, as highlighted by the lack of significant difference in the differential fixation maps (Zcrit>|4.25|, P<.05) (Figure 9).
Both groups of rats rapidly learnt to dig in just one of the two cups containing different media (beads or shredded paper) for a food reward (Fig. 6).
During the first probe trial on day 7, both Visc-2+/+ and Visc-2−/− mice spent significantly more time in the quadrant where the platform was originally placed, which indicates that both groups of mice had learned the location of the platform to a similar extent (Fig. 7 I).
Our previous moniker and 'look' – all childlike shapes and bright colours – worked well in the early days when the company developed devised pieces and explored form and practice with a group of learning disabled adults in a therapeutic setting.
Many studies have developed models for siRNA efficacy and a heterogeneous group of learning techniques have been used in the development of predictive siRNA models, Table 1 [8]–[38].
The first group of learning techniques involves the development of models that classify siRNAs into discrete groups of more effective and less effective, based on their properties or features.
The second group of learning techniques involves the development of a regression model that predicts a siRNA's effectiveness from a continuous distribution, also based on the siRNA properties, or feature set.
In both groups a lack of learning capacity of the system (80 and 75%%), a too high intensity of the alerts (40 and 32%%) and a lack of responsiveness of the system (33 and 38%%) were often perceived as barriers.
