Sentence examples for processing classifications from inspiring English sources

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Several other variables showed higher percentages of children with below normal speech processing classifications and high levels of sucking behaviors.

In these bivariate summaries only one behavior, having ever sucked their finger, was significantly associated with the three speech processing classifications (p =.02).

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Keeping aside the figurative incongruity (empathy and machines), humans have made great progress in building functional pieces of the human brain — from machines that can handle computation, memory storage and retrieval to probabilistic reasoning, pattern recognition, natural language processing, classification, learning, etc.

The aim of this paper is to propose an urban object recognition algorithm for urban robotic missions with useful properties: online processing, classification results with probabilistic outputs, and training with a few examples based on a generative model.

The last of the score or more NPU startups are now falling before EZ’s highly integrated NP-2 chip which is available is three interchangeable models and includes all the major line-card functions such as wirespeed 10 gigabit per second (or 5 Gbps) processing, classification search engines, traffic managers and Ethernet ports.

Weka contains tools for data processing, classification, regression, clustering, association rules, visualization.

To promote international unity in the collection, processing, classification and presentation of disease-related data, the World Health Organization (WHO) has published the International Classification of Diseases (ICD) to serve as a medical code (27).

It includes tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

They present an overview of pre-processing, classification and clustering techniques to discover patterns from social networking sites.

It contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and it is an open source tool available at[26].

WEKA is a collection of ML algorithms for data mining tasks and contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

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