In what scenarios might simpler machine learning models outperform complex deep learning models?

Aug 3, 2021 ... The hypothesis is tested by predictive modelling based on Machine Learning (ML). We compare conventional ML techniques and the proposed “deep ... The choice of dose comparison method has the largest impact on error identification for pre-treatment QA using DL, compared to image preprocessing. Principles, techniques, and algorithms in machine learning from the point of view of ... Fundamentals of deep learning, including both theory and applications. Aug 17, 2020 ... Our model is a semi-supervised machine learning model, training on coding genes while testing on pseudogenes. 2.2.1. Graph Construction. In ... Feb 12, 2025 ... ... machine learning by efficiently targeting the most informative samples for model training ... deep learning works well with large amounts of ... Jun 11, 2017 ... Put simply, and without any mathematical symbols, prior means initial beliefs about an event in terms of probability distribution. Dec 10, 2020 ... In this slightly different usage, the calculation is referred to as mutual information between the two random variables. In this post, you will ... Recently proposed evidential neural networks ex- plicitly account for different uncertainties by treat- ing the network's outputs as evidence to parame- terize ... May 21, 2024 ... Recently, information systems researchers also called for empowering machine learning ... learn the pattern of targeting different prospects. Dec 28, 2020 ... The identification of morphological phenotypes of tau on in vivo neuroimaging may help to differentiate mild cognitive impairment (MCI) and AD ...