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• Random Variables: In data science and statistics, a random variable is a variable whose value is subject to variations due to chance. It is a numerical description of the outcome of a statistical experiment. Random variables can be discrete or continuous. Di ... Read More >>
• Acquisition Function: In Bayesian optimization, an acquisition function is a function that maps the posterior distribution of the objective function to a real number. The acquisition function is used to determine the next point at which to evaluate the objective ... Read More >>
• Markov Random Fields: Markov Random Fields (MRFs) are a type of probabilistic graphical model used in machine learning and computer vision to model complex dependencies between random variables. MRFs are defined by a graph where nodes represent random variables ... Read More >>