欢腾
发表于 2025-4-1 03:06:40
Disjoint and Overlapping Process Changes: Challenges, Solutions, Applicationsork for dealing with overlapping and disjoint process changes and presents adequate migration strategies depending on the particular degree of overlap. In order to obtain a canonical representation of changes an algorithm is introduced which purges change logs from noisy information. Finally, a powe
Physiatrist
发表于 2025-4-1 07:42:05
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Fraudulent
发表于 2025-4-1 13:46:13
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事先无准备
发表于 2025-4-1 14:38:13
Automated Supervision of Data Production – Managing the Creation of Statistical Reports on Periodic rmation is made available to management, production operators and administrators to support a timely and smooth production of periodic data. Both approaches are theoretically described and compared. The main finding is that both are useful, but in different cases. The main advantages of the ‘closely
laparoscopy
发表于 2025-4-1 19:26:45
Managing Semantic Compensation in a Multi-agent Systemnd handling failure-related interactions between agents– without requiring the agent application designer to implement the details of the failure-handling model. In particular, in a multi-agent system, robust handling of compensations for delegated tasks requires flexible protocols to support manage
富足女人
发表于 2025-4-2 00:07:15
A Meta-service for Event Notificationification of filter languages for event notification, which serves as basis for the transformation rules. The proposed rules are implemented in a prototype transformation module for a Meta Service for Event Notification.
fibula
发表于 2025-4-2 03:18:20
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同时发生
发表于 2025-4-2 08:45:34
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conflate
发表于 2025-4-2 11:40:17
Wil van der Aalst,Christoph Bussler,Avigdor Gal category transition preference to further improve the accuracy of recommendation. The experiment results on two real-world Foursquare datasets demonstrate that CPAM has better performance than the state-of-the art methods in terms of two commonly used metrics.
Insensate
发表于 2025-4-2 19:19:24
Umeshwar Dayal non-stationary dueling bandits with strong theoretical guarantees. The main idea of our method is to run multiple dueling bandits gradient descent (DBGD) algorithms with different step sizes in parallel and employ a meta algorithm to dynamically combine these DBGD algorithms according to their real