Abstract: The growth of machine learning (ML) has revealed model vulnerabilities to adversarial attacks, where small data perturbations degrade performance. Classical defenses often struggle, ...

When faced with business challenges, competitive pressure or even growth opportunities, it’s natural for marketers to want to react quickly. But responding to marketing symptoms, such as lower ...

Abstract: To address the issues of slow convergence and low exploration efficiency in traditional Q-learning, this paper proposes a path planning algorithm based on support vector machine (SVM) ...