Tag: Energy-Based Model
All the articles with the tag "Energy-Based Model".
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Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning
The Boltzmann Classifier introduces a thermodynamically inspired supervised learning approach that uses an energy-based model derived from the Boltzmann distribution to estimate class probabilities, achieving competitive accuracy on benchmark datasets while offering interpretability and computational efficiency.