Sentence examples for a mixture of networks from inspiring English sources

The ratio of nonsynonymous to synonymous changes was calculated and some patients (6.9%) showed a mixture of networks under strong negative and positive selection.

An on-line reinforcement learning system that adapts to environmental changes using a mixture of Bayesian networks is described.

The model uses a mixture of experts network for the critic and a hierarchical network with two levels for the actor.

For individual credit, Desai et al. 1996 used a multi-layer perceptron neural network (i.e., a mixture of expert neural networks) for individual credit and found that neural network models outperform linear discriminant analysis and logistic regression models.

It also includes a mixture of experts with neural networks and Bayesian networks in the reuse phase to predict the longevity of dental restorations.

"It appears to be a very complicated mixture of networks that are fighting the Syrian government, including individuals associated with Al Qaeda in Iraq," said Seth G.

The former incorporates a new classification model based on a mixture of a neural network and a Support Vector Machine in order to classify SQL queries in a reliable way.

Recently, a mixture of relay and FSO networks has been introduced in the literature aiming to increase the coverage distance of FSO networks which is usually limited to a few hundred meters in realistic conditions due to atmospheric turbulence condition effects [4].

Using a mixture of private fibre optic networks and the public internet, the LHC Computing Grid LC G) links thousands of machines to create a virtual supercomputer.

An accurate computer-assisted method to perform segmentation of brain tumor on apparent diffusion coefficient (ADC) images and evaluate its grade (malignancy state) has been designed using a mixture of unsupervised artificial neural networks (ANN) and hierarchical multiresolution wavelet.

To emphasize this, we use the terminology gene regulatory network for a network that is inferred from gene expression data to point out that this is not necessarily a transcription regulatory network but a mixture of this and a protein-protein network [ 19].