Online Deterministic Annealing for Classification and Clustering

Inherent in virtually every iterative machine learning algorithm is the problem of hyper-parameter tuning, which includes three major design parameters: (a) the complexity of the model, e.g., the number of neurons in a neural network, (b) the initial conditions, which heavily affect the behavior of...

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Veröffentlicht in:	arXiv.org 2022-01
Hauptverfasser:	Mavridis, Christos, Baras, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annealing Classification Clustering Complexity Computer Science - Learning Initial conditions Machine learning Neural networks Performance evaluation
Online-Zugang:	Volltext
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