2 papers
cs.LG2021
Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers
A. I. Parkes, J. Camilleri, D. A. Hudson +1
To increase the ubiquity of machine learning it needs to be automated. Automation is cost-effective as it allows experts to spend less time tuning the approach, which leads to shor…
cs.LG2021
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
A. I. Parkes, A. J. Sobey, D. A. Hudson
Artificial intelligence is applied in a range of sectors, and is relied upon for decisions requiring a high level of trust. For regression methods, trust is increased if they appro…