Abstract: The rapid delivery in software development life cycle demands more adaptable automation testing frameworks. The current automation test frameworks struggle with maintaining the scripts due ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
CBRkit is a customizable and modular toolkit for Case-Based Reasoning (CBR) in Python. It provides a set of tools for loading cases and queries, defining similarity measures, and retrieving cases ...
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