Sentence examples for models and categorization from inspiring English sources

NoSQL data models and categorization of NoSQL data stores have been addressed in other surveys [10 14].

Such definitions support accurate public health reporting, preparedness planning for deliberate B. pseudomallei release, design of experimental models, and categorization of naturally acquired melioidosis.

The second is a clinical definition of inhalational melioidosis, which has value for preparedness planning for deliberate B. pseudomallei release, design of experimental models, and categorization of routes of infection for naturally acquired melioidosis.

Statistical agencies and economics departments of course have their own more rigid definitions and categorization models, but the whole process seems very subjective.

The variables included in the model and their categorizations are: - Health status: VAS value, measured from 0 ("worst imaginable health state") to 100 ("best imaginable health state").

The model consists of Izhikevich neurons and conductance-based synapses for realistic approximation of neuronal dynamics, a spike-timing-dependent plasticity (STDP) synaptic learning rule with additional synaptic dynamics for memory encoding, and an accumulator model for memory retrieval and categorization.

A common and key feature of most of the used models is the multidimensional conceptualization and categorization of research impact.

* Probabilistic models for unsupervised clustering: Modeling human categorization and category discovery; prototype and exemplar categories; categorizing objects by relations and causal properties.

Our design and analysis allow us to distinguish between different sources of complexity and theoretical models of categorization.

Modern machine learning methods and psychological models of categorization are remarkably similar, partly because these two fields share a common history in artificial neural networks and reinforcement learning.

The CMS model is designed to profile hospital performance among Medicare patients hospitalized for multiple disease conditions, using claims based data for risk adjustment and model categorization [ 12].