Define Error Correction Learning with examples.

Error Correction Learning (ECL) is a concept in machine learning and neural networks that focuses on modifying a model's parameters to correct the errors it makes during training. The primary goal of ECL is to minimize the discrepancy between the actual output and the desired output, typically measured using a loss function or error term. This approach is particularly beneficial in training ______ ___ ______ _________ ________ ___ _________ ____ _________ _____.
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