A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

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Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically. Classic models like regression, decision trees, and KNN remain important in modern AI ...

1 Department of Computer Science, Chennai Mathematical Institute, Chennai, India. 2 Department of Mathematics & Computer Science, Chennai Mathematical Institute, Chennai, India. 3 Department of Data ...

The National Research Council of Canada's Applied Quantum Computing (AQC) Challenge program is launching a call for proposals to support Canada's National Quantum Strategy. The call aims to enable ...

A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...

This is an introductory article explaining the basic intuition, mathematical idea & scope of radial basis functions in the development of predictive machine learning models. In machine learning, ...

Abstract: In order to solve the problem that the traditional query based on secondary retrieval is too rigid so as to automatically filter out valuable target documents, and repeated queries consume a ...

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...

TOC can not only generate gas but also provide the main space for gas storage. The structure of the organic matters within the connected and isolated pore network is essential for gas storage capacity ...