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• Markov Networks: Markov Networks, also known as Markov Random Fields, are probabilistic graphical models used to represent complex joint probability distributions over a set of random variables. They are defined by an undirected graph where each node repres ... Read More >>
• Decentralized Networks: Decentralized networks refer to a type of network architecture where nodes or participants in the network have equal decision-making power and can communicate with each other directly without the need for a central authority. In a decentral ... Read More >>
• Aliasing: Aliasing is a phenomenon that occurs when a signal is sampled at a rate that is too low to accurately represent the original signal. This results in a distorted representation of the signal, where high-frequency components are misrepresente ... Read More >>