… We explore this visually by contrasting the PMP and (natural logarithmic) BF approximations
of bridge sampling with the two neural network variants in Figure 5. We observe that the two …

… to categorically distinguish hierarchical from flat models. Instead, we present a novel test
which leverages a more complex task, whose hierarchical structure allows generalization …

… In contrast, the Minnesota prior incorporates many plausible prior beliefs such as cross-…
both the adaptive hierarchical priors and the Minnesota prior. Like the adaptive hierarchical priors…

… extension of conventional Bayesian approaches that uses information theory to study rate-…
In contrast, a conventional Bayesian approach predicts that performance will degrade slowly…

… neuroimaging data analysis scenarios. We propose a hierarchical Bayesian approach in …
In contrast, the maximum MSLL for the hierarchical Bayesian models was max -0.056 for the …

… learned scores, Bayesian approaches and scores obtained … contrast to object-level corner
cases, in this case while we might want pixel-wise semantic segmentation labels for our visual …

… Concept drift adaptation with A-HLFR In this section, we perform two case studies using
representative real-world concept drift datasets from email filtering and weather prediction …

… The Bayesian approach naturally adapts to such hierarchically or spatio-temporally
correlated effects via conditionally specified hierarchical priors under a three-stage scheme (Lindley …

… our Bayesian modelling analysis and our w AV analysis showed that the hierarchical structure
of Bayesian … The Bayesian causal inference model also outperformed the audiovisual full-…

… classifier learning in traditional supervised learning [62]. In contrast, we replace the ground-…
posteriors, we combined the variational Bayesian method with a deep kernel technique to …