Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Abstract: Performance evaluation of the linear kernel SVM for land cover classification using the GEE platform in Telangana, India (Longitude: 79.78E Latitude: 7.78N) is presented in this paper.

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...

This repository contains two powerful Python scripts for spam classification using Naïve Bayes and Support Vector Machine (SVM) algorithms. Each script implements a complete pipeline for loading, ...

Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.