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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968
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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum
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, communities and homes to prevent problem behaviour and mental ill-health. It is expected the project will lead to the development of systemic and targeted interventions to improve local and global health
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surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
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. Among the approaches used will be the Bayesian information-theoretic Minimum Message Length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) References: Wallace, C.S
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are particularly difficult to treat, with poor treatment outcomes and high relapse rates. However, current treatments are moderately effective at best. Given available therapies are designed to target known core
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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techniques for annotation, active learning (based on either deep learning or Bayesian learning), semi-supervised learning, transfer learning, imitation learning, etc., aiming to ensure the data and models
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interpretability is by using integrative approaches to analyse and predict target classes based on the context of prior biological knowledge. This study aims to propose accurate and interpretable cancer prediction
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of the neurons responsible for specific behaviours in these disorders may eventually lead to the development of better pharmacological therapies, which target these neurons. Finally, the student may be able