We use the option "classification targets" of probtrackx to obtain per each target a map of the connectivity of the STN where for each STN voxel we compute the number of tracts (on a total of 5,000) reaching the target.
The classification target are the four classes created by student rank quartiles.
The procedure applies the FSL option "probabilistic tracking with classification targets" in a bidirectional and iterative manner.
The results showed that while PT was increased more pixels were excluded from non-target polygons than from the polygons of the seven classification targets.
A total of 35 plant species were mapped in the field and seven most dominant ones were used as classification targets.
Multi-instance learning (MIL) is one of promising paradigms in the supervised learning aiming to handle real world classification problems where a classification target contains several featured sections, e.g., an image typically contains several salient regions.
Classification target topic (varvec{phi }) is the choice made under each situation.
The parameter of learning target date distribution is (alpha), and the parameter of classification target topic distribution is (beta).
Unlike the restaurant review, where only one classification target is present (positive or negative review), many different classification targets (ideas or concepts) could be present in students' responses to questions about natural selection.
The classification target is to identify the channel with minimal distance between its best frequency and the fundamental frequency.
