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What is Incremental Learning?

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Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model on the entire dataset, Incremental Learning updates the model using newly available data. This approach is efficient for handling evolving data and adapting to changing environments.

Other Definitions

Ontologies

Ontologies are a representation of knowledge that defines concepts and the relationships among them. Ontologies enable machines to structure and reason information in a…

Neuroevolution

Neuroevolution is a type of AI learning that combines neural networks and evolutionary algorithms. Neuroevolution algorithms evolve neural networks over generations, adapting them to…

Supervised Learning

Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…

Decision Networks

Decision networks, also known as Probabilistic Graphical Models, are a type of AI model that represents uncertain knowledge using a graph structure. Decision Networks…
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