Sentence examples for boundaries in the data from inspiring English sources

Phase 2 is a cluster update phase where the clustering procedure is run in the feature space to find the clusters with non-linear boundaries in the data space.

Although there was a high overlap of detected ROIs between the three methods, HATSEQ better delineates the peak boundaries in the data.

By projecting the data using a mapping ϕ(x), nonlinear decision boundaries in the input data space can be obtained.

To accomplish that, the models need to be trained on large data sets to unearth boundaries and relationships in the data.

Training/development data (i.e., training/development speech data, training/development term list, training/development ground-truth labels, orthographic transcription and timestamps for phrase boundaries in the training/development speech data, and evaluation tools) were released at the end of June 2014.

Information about the number of times branch lengths are estimated to be at the boundary in the simulated data set.

The separating boundary is the direction in the data of maximum discrimination.

The representation of boundaries in imbalanced data sets is a difficult concern for learning algorithms.

Many sophisticated transfer functions have been proposed to visualize boundaries in volumetric data sets such as computed tomography and magnetic resonance imaging.

For ease of quantification, and because of a lack of categorical gait boundaries in our data, we analyzed interlimb coordination in terms of phase values and support patterns rather than gait patterns.

A key feature of this work was our demonstration of how an unsupervised learning tool (SOM) can be used to identify category boundaries in multipollutant data sets for epidemiologic investigation.