Sentence examples for model that classifies from inspiring English sources

We first present a general overview of bio-inspired systems and the POE model that classifies bio-inspired machines along three axes.

In addition, you would want to see added value in the percentage of correct classification over a model that classifies the cases without the variables.

Using a variety of input variables and architecture parameters, they were able to develop a NN model that classifies well in training sets, but were unable to develop a model with substantial predictive ability.

These moments are subsequently used to seek a QSAR model that classifies a polymeric DNA sequence as a mycobacterial promoter (mps) or not on the basis of its putative RNA secondary polymeric structure.

In order to make a discriminative model that classifies group of SULT1A1 binders into substrates and inhibitors, a combination of structure, ligand-based, and docking based pharmacophores have been generated and validated by Ligandscout [4].

As the inspection system can be subject to diagnosis errors, one develops a probabilistic model that classifies repeatedly the examined item until a conforming or b non-conforming classification is observed.

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.

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].

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).

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).