Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

The algorithm development kit, based on Etiometry’s FDA-cleared clinical intelligence platform, is now available to support research and clinical decision making in high-acuity care units ...

Abstract: The aging problem has an increasing impact on China's economy, employment, and medical care, so it is important to make accurate predictions of the aging population. In this paper, we use ...

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design ...

Quantum machine learning is a rapidly growing field at the intersection of quantum computing and machine learning. In this work, we examine our quantum machine learning models, which are based on ...

"# Here we will convert the data frame into a numpy array and drop the prediction column\n", "x = np.array(df.drop(['Prediction'],1))\n", "# Remove the last 'n' rows ...

ABSTRACT: This research studies short-term electricity load prediction with a large-scalelinear programming support vector regression (LP-SVR) model. The LP-SVR is compared with other three non-linear ...

ABSTRACT: This paper proposes a method for determining the stabilizing parameter regions for general delay control systems based on randomized sampling. A delay control system is converted into a ...