
Situate Your Research Focus inside a Wider-Reaching Direction
Scholarly Communication
Integrating Machine Learning and Quantitative Verification
This chapter explores the synergy between machine learning and quantitative verification, emphasizing their complementary roles in system architecture. It discusses the underappreciated value of quantitative verification, particularly in enhancing the reliability of machine learning applications in critical industries. The chapter also addresses the implications of using ML in safety-critical contexts, stressing the need for robust decision-making frameworks to mitigate potential failures.
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