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Palabras clave – provistas por la editorial

supervised classification; independent and non-identically distributed features; analytical error probability; empirical risk; generalization error; K-means clustering; model compression; population risk; rate distortion theory; vector quantization; overfitting; information criteria; entropy; model-based clustering; merging mixture components; component overlap; interpretability; time series prediction; finite state machines; hidden Markov models; recurrent neural networks; reservoir computers; long short-term memory; deep neural network; information theory; local information geometry; feature extraction; spiking neural network; meta-learning; information theoretic learning; minimum error entropy; artificial general intelligence; closed-loop transcription; linear discriminative representation; rate reduction; minimax game; fairness; HGR maximal correlation; independence criterion; separation criterion; pattern dictionary; atypicality; Lempel–Ziv algorithm; lossless compression; anomaly detection; information-theoretic bounds; distribution and federated learning