Efficient hyperparameter tuning using Bayesian optimization
Theckel Joy, Tinu 2019, Efficient hyperparameter tuning using Bayesian optimization, Ph.D. thesis, School of Information Technology, Deakin University.
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Title
Efficient hyperparameter tuning using Bayesian optimization
This thesis addresses many open challenges in hyperparameter tuning of machine learning algorithms. The thesis develops efficient Bayesian optimization frameworks for hyperparameter tuning by utilizing different techniques like transfer learning, parallel computing, and domain-specific prior knowledge induction.
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eng
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off
Field of Research
080109 Pattern Recognition and Data Mining
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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