Cognitive Architectures

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• AdaBoost: AdaBoost (Adaptive Boosting) is a machine learning algorithm that combines multiple weak classifiers to create a strong classifier. In AdaBoost, each weak classifier is trained on a subset of the data, and the algorithm assigns higher weigh ... Read More >>
• Hazard Rate: Hazard rate is a statistical measure that represents the rate at which an event occurs in a specific time period. In data science, hazard rate is commonly used in survival analysis to model the probability of an event occurring at a particu ... 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 >>