This paper presents low-complexity quantum algorithms for numerical differentiation and integration in partially bounded domains. The algorithms are based on a spectral approach that allows taking ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Background: The styloid process (SP), a bony projection from the temporal bone which can become elongated, resulting in cervical pain, throat discomfort, and headaches. Associated with Eagle syndrome, ...
1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department ...
Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...
Abstract: Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning ...
Life has become more comfortable in the era of advanced technology in this cutthroat competitive world. However, there are also emerging harmful technologies that pose a threat. Without a doubt, ...
A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...
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