The feature information thus extracted is fed to discriminant classifiers or hidden Markov models that classify it into FACS action units, the descriptive system to code fine-grained changes in facial expression.
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.
This was because most of the logistic models that classify the eve stripes successfully have some fitted probabilities very near 0 or 1. (The nuclei on the borders of the stripes have intermediate values).
Other groups focused on tissue specific differences between cancer sites by building supervised models that classify samples according to their tissue of origin [ 10, 11] or by comparing cancer from multiple tissues with normal tissue [ 12].
We developed and evaluated two automated models that classify GPS tracking data into four major time-activity categories (i.e. indoor, outdoor static, outdoor walking, and in-vehicle travel) that are important in determining people's exposure to traffic-related and other air pollutants [ 6- 12].
To train models that classify a protein as a hub or a non-hub, the protein interaction data from the four species were combined into a single data set (90,164 interactions involving 2,069 hubs and 19,715 non-hubs).
