Sentence examples for are highly sparse in from inspiring English sources

These classification results lend support to the simple idea on which TNB was anchored i.e., in order to avoid ending up with a highly biased Naïve Bayes classifier, when the value of L is large and the training pattern vectors are highly sparse (in the sense described before), penalise appropriately the contributions from absence of features to the classifier.

Now, based on the data sets utilised, we may conclude: combining feature selection with apt penalization of absence of features can improve the classification performance of the Bernoulli Naive Bayes algorithm, in particular when the value of (L_{s}) is large and the training pattern vectors are highly sparse (in the sense described in "Background").

In fact, it is common that the distance distributions of the bacteria genomes are highly sparse for distances above 50.

Using a combination of extracellular and juxtacellular techniques, we showed that granule cells were extremely sparse in their firing and highly selective for a small number of spatial environments, whereas mossy cells fired promiscuously in multiple environments, typically displaying multiple place fields in each environment.

The users items interaction network is often highly sparse in real systems, for which many recommenders fail to provide accurate predictions.

Uterine macrophages are a specialized myeloid subset whose spatial distribution and population dynamics are regulated by local colony stimulating factor (CSF -1 signaling: maCSF -1gesignaling-1 are highly abundant in the macrophagesbut relandvely sparse in the decidua (Collins et are, 2009, Tagliani et al., 2011).

Interpreting such sparse ecological indicators is difficult, particularly within landscapes that are highly variable in space and time.

Badlands are highly erodible landscapes with sparse vegetation and rapid runoff responses.

These birds are highly colonial and nest on oceanic islands in burrows in cliffs, rock falls and sparse grassland.

Overall, the predictions are highly consistent with the observed data, indicating that our model is able to capture the signal transduction in HepG2 cells with a sparse network.

Path gestures display characteristics the most similar to light verbs, in terms of being highly frequent and in terms of conveying sparse information, such as the fact something moved.