Inkling
发表于 2025-3-23 12:30:45
Trees with Anticancer Activities,d may not be optimal over time due to non-stationarity of process environments, data, and cost structures. Here, we use online reinforcement learning as an alternative solution to learn when to trigger proactive process adaptations based on the predictions and their reliability at run time. Experime
制定法律
发表于 2025-3-23 16:48:18
Characterizing Machine Learning Processes: A Maturity Frameworkng model development process. We present a set of best practices from authors’ personal experience of building large scale real-world machine learning models to help organizations achieve higher levels of maturity independent of their starting point.
表脸
发表于 2025-3-23 18:56:15
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jet-lag
发表于 2025-3-23 23:26:35
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glacial
发表于 2025-3-24 05:09:01
Socially-Aware Business Process Redesign to large SBPR instances, as well as a detailed analysis of the factors that influence the performance of the approach. Our work shows that it is feasible to incorporate multiple considerations into redesign decision making, while providing meaningful insights into the trade-offs involved.
NEG
发表于 2025-3-24 07:10:30
Incentive Alignment of Business Processeshecking incentive alignment of process models with utility annotations for tasks, which can be used for . analysis of inter-organizational business processes. Last but not least, we show that the soundness property is a special case of incentive alignment.
Temporal-Lobe
发表于 2025-3-24 10:59:24
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Memorial
发表于 2025-3-24 17:00:56
Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithmact that the conformance checking problem can be reduced to a shortest path problem, by incrementally expanding the search space and reusing previously computed intermediate results. Our experiments show that our algorithm is able to outperform comparable state-of-the-art approximation algorithms.
危险
发表于 2025-3-24 22:36:13
TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimationrences at certain timestamps are modeled, so the fitness of new cases is computed considering this stochastic model. We evaluate this on a real-world building permit application process, which shows its usage capabilities in industrial scenarios.
GLIDE
发表于 2025-3-24 23:37:35
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