Sentence examples for art classification from inspiring English sources

Exact(10)

A couple of state of the art classification methods are integrated to classify the braking states of the Segway.

There exist numerous state of the art classification algorithms that are designed to handle the data with nominal or binary class labels.

We show that the proposed structure provides efficient coverage of the decision space which leads to state-of-the art classification accuracy and fast training times.

BACKGROUND AND PRIOR ART Classification methods for financial instruments such as mutual funds, exchange-traded funds, stocks, and bonds, are commonly used to identify investments that meet one's personal criteria.

The proposed method has been applied on both simulated rice disease dataset and benchmark datasets and the classification accuracy is measured and compared with various state of the art classification algorithms.

There exist numerous state of the art classification algorithms that are designed to handle the data with nominal or binary class labels, where a sample belongs to only a single class label.

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Similar(50)

In problems where large numbers of training exemplars are available, deep learning methods have shown impressive prediction results, often outperforming state-of-the-art classification methods36,37,38.

The performance of our algorithm is studied experimentally on 19 publicly available data sets and further compared to several state-of-the-art classification approaches.

This paper presents and discusses an evolutionary based adaptive drift-correction method designed to work with state-of-the-art classification systems.

Diagnosis schemes are applied using various state-of-the-art classification algorithms and the results are computed based on accuracy, sensitivity, specificity, and F-measure.

We are developing methodologies and tools to automatically synthesize neural networks from provided datasets with the aim of meeting state-of-the-art classification accuracy targets while reducing hardware resources by two orders of magnitude.

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