Representation Bayesian Risk Decompositions and Multi-Source Domain AdaptationXi WuYang GuoJiefeng ChenYingyu LiangSomesh JhaPrasad Chalasani
Wang Q, Wang S, S, Wang B (2023) Class-rebalanced wasserstein distance for multi-source domain adaptation. Appl Intell 53(7):8024–8038. https://doi.org/10.1007/s10489-022-03810-y Zhang X, Liu Y, Xu X, Huang Q, Mao H, Carie A (2021) Structural relational inference actor-critic ...
Furthermore, discrete semi- or non-conjugated updating is recommended for multi-parametric updating. View article Journal 2018, Renewable and Sustainable Energy ReviewsMareike Leimeister, Athanasios Kolios Chapter Machine Learning methods for Quality-of-Transmission estimation 7.3.2.1 Domain adaptation ...
Finally, Merizo-based domain segmentation of ProtBFN samples (e) reveals that zero-, single- and multi-domain samples are generated. Panel (d) is adapted from an original rendering (Created in BioRender. Copoiu, L. (2025) https://BioRender.com/v21o080). Source data are provided as a...
Fault diagnosis for multi-axis carving machine systems with Gaussian mixture hidden Markov models: A data-model interactive perspective Control Engineering Practice, Volume 154, 2025, Article 106163 Xiang Qiu,…, Wen-An Zhang Ride-pooling Electric Autonomous Mobility-on-Demand: Joint optimization of op...
Analysis of BN reusability with respect to the BN part source. The source information is aggregated by the following logic: if any source is missing or collected with experts, then the paper source is aggregated to the “no” or “experts” value correspondingly, and all other cases are mappe...
Our work presents both methodological development and showcases application to the domain of materials research. Specifically, we adapt information-based Bayesian algorithm execution (InfoBAX)50and Multipoint-BAX51to handle materials science scenarios, characterized by discrete design spaces and multi-proper...
Typically, burn-in is chosen to be as long as or longer than the adaptation period. The burn-in period may need to be larger for multilevel models because these models intro- duce high-dimensional random-effects parameters and thus require longer adaptation periods. With multiple chains, ...
Ultimately, responsible AI development demands a multi-disciplinary approach that acknowledges and addresses the complex interplay of technological innovation with deeply embedded social, economic, and political forces.9.5--- Iter 1 / Sim 2 --- Selected Node: 2 (Visits: 2, Score: 8.5, Tags: ['...
This study also considers minimising dynamic loading as a secondary control objective for multi-objective WF control. It should be noted that the model mismatch from not explicitly employing a wake model in the MPC is the main source of uncertainty, which BO aims to mitigate. However, to ...