Classifiers represent tasks entailing the use of pattern matching to determine a best match between the features extracted from sensor data and a context description.
For example, participants could figure out a pattern between the numbers inputted into the program and the distance traveled by the robot and derive a formula from that pattern, without ever determining the relation between the motor and the wheels of the robot.
Besides descriptive analysis, bivariate t-test, F-test, and multivariate ordinary least square regression (OLSR) were employed to determine the comparative pattern between the traditional generic and the newly nested fast-track program.
We chose a path model, guided by our conjunction analysis, to determine connectivity patterns between our four conjunction-task areas of interest to better understand what happens in the brain during integration of manipulated object and spatial information.
In our study, we analyzed the gene expression and phenotypic profiles to determine global patterns between expression patterns and phenotypes.
We study genetic patterns between regional populations to determine a) levels of cryptic diversity, b) the invasive or native status of each regional population and c) the most appropriate sampling design for identifying the boundaries of each evolutionary unit.
To determine patterns between years, the data were assessed by determining autocorrelation between subsequent yearly landings.
One approach is to link each genetic interaction to its molecular underpinnings, with the goal of determining general patterns between classes of interactions and what they represent, e.g., [20], [21], [24].
Several empirical studies have been recently conducted to determine the pattern of contacts between and within groups in different social settings to model the spread of infectious diseases, most often relying on self-reported methods [10], [16].
To determine the pattern of association between insulin resistance and adverse pregnancy outcomes, including incidence of pregnancy-induced hypertension, pre-eclampsia, caesarean section, postpartum haemorrhage, maternal weight gain during pregnancy and incidence of the baby's admission to the neonatal unit.
