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What is: Aggregated Learning?

SourceAggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Aggregated Learning (AgrLearn) is a vector-quantization approach to learning neural network classifiers. It builds on an equivalence between IB learning and IB quantization and exploits the power of vector quantization, which is well known in information theory.