Titlebook: Interacting Particle Systems; Thomas M. Liggett Book 2005 Springer-Verlag Berlin Heidelberg 2005 Excel.Interacting particles.Ising models.

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Thomas M. Liggetts analysis, process efficiency improvement, and automation. Most real-world business processes are large and complex. Successfully capturing, analysing, and automating these processes requires process definition languages that capture a variety of process aspects with a wealth of details. Most curre

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Thomas M. Liggettnt, BPM 2023, in Utrecht, The Netherlands, during September 2023..Papers from the following workshops are included:.? 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023).? 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Mee

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Thomas M. Liggettanding and data extraction domain. Several transformer based models such as LayoutLMv2 [.], LayoutLMv3 [.], and LiLT [.] have emerged achieving state of the art results. However, addition of even a single new class to the existing model requires (a) re-annotation of entire training dataset to includ

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Thomas M. Liggettanding and data extraction domain. Several transformer based models such as LayoutLMv2 [.], LayoutLMv3 [.], and LiLT [.] have emerged achieving state of the art results. However, addition of even a single new class to the existing model requires (a) re-annotation of entire training dataset to includ

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Thomas M. Liggette been improving the prediction accuracy for this suffix prediction task. Training such models with many parameters on large event logs requires expensive hardware and is often time consuming. Transfer learning addresses this issue by starting from a pre-trained model to be used as starting point fo

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