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Instance-Based Learning (IBL) methods store training data and classify new instances by retrieving similar instances from memory, allowing for local approximations of complex target functions. The k-Nearest Neighbor (k-NN) algorithm is a primary IBL method that classifies based on the nearest neighbors using Euclidean distance, but it can be computationally expensive and sensitive to dimensionality. Case-Based Reasoning (CBR) is a related approach that reuses past experiences for problem-solving, while gene

Author

kollatirevanthsivasai22

Language

EN