Abstract: Travel time prediction is essential for the development of advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time predictions and ...

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Abstract: This paper introduces a generalized quantum-classical dual kernel learning method for Support Vector Machines (SVMs), extending its application to both classification and regression tasks.

Your browser does not support the audio element. Python is a highly popular programming language, widely used in various fields like software development, data ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

Department of Computer Science, School of Engineering & Computer Science, Baylor University, Waco, USA. Department of Electrical & Computer Engineering, Autonomous University of Ciudad Juárez, Ciudad ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...