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Taylor Learning
Empirical risk minimization stands behind most optimization in supervised machine learning.
Testing for Overfitting
High complexity models are notorious in machine learning for overfitting, a phenomenon in which models well represent data but fail to generalize an underlying data generating process.
Latent Properties of Lifelong Learning Systems
Creating artificial intelligence (AI) systems capable of demonstrating lifelong learning is a fundamental challenge, and many approaches and metrics have been proposed to analyze algorithmic properties.
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