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31#
發(fā)表于 2025-3-26 23:13:32 | 只看該作者
Model-Agnostic Explanations by Identifying Prediction Invariance,ntervene with the explanatory variables, given the fact that the model is generated through a formal causal relationship. There is a difference between the causal machine learning model and the non-causal machine learning model. The causal model shows a real cause-and-effect relationship between the
32#
發(fā)表于 2025-3-27 01:12:17 | 只看該作者
33#
發(fā)表于 2025-3-27 06:49:42 | 只看該作者
2194-5357 es and methodologies.Includes the proceedings of the Computi.This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been
34#
發(fā)表于 2025-3-27 09:33:00 | 只看該作者
Chapter 6: Between Method and , irradiated with UV light at 80 K. Moreover, the further reaction processes were observed from the intermediate nitrenes to the final products, azobenzene derivatives or five-membered ring derivatives. The acid–base complex formation between arylazides and amine derivatives is very effective to observe the reaction processes of nitrenes.
35#
發(fā)表于 2025-3-27 17:21:15 | 只看該作者
Climate Change and the Need for Integrated Coastal Risk Management in the Baltic Seamplies a holistic coastal risk management consisting of the elements prevention, protection, preparedness, emergency response, recovery and review. These integral components are described as parts of a control loop. The chapter ends with an outlook, including a reflection of the EU-Flood Directive.
36#
發(fā)表于 2025-3-27 21:15:39 | 只看該作者
1064-3745 ooting and avoiding known pitfalls..Authoritative and cutting-edge, .Hepatitis C Virus Protocols. aims to ensure successful results in the further study of this vital field..978-1-4939-8976-8Series ISSN 1064-3745 Series E-ISSN 1940-6029
37#
發(fā)表于 2025-3-27 23:53:29 | 只看該作者
38#
發(fā)表于 2025-3-28 03:01:34 | 只看該作者
Trajectory-Based Representation of Human Actionsesponding to different actions. We use Relevance Vector Machines (RVM) in order to address the classification problem. We propose new kernels for use by the RVM, which are specifically tailored to the proposed representation of short trajectories. The basis of these kernels is the modified LCSS dist
39#
發(fā)表于 2025-3-28 07:02:35 | 只看該作者
Calibration Testing Of Network Tap Deviceslness based practices, and consistently offering how such practices link to performance – the reader learns to implement all of MMTS or elements of MMTS to helpthe increase their ability to focus, cope with difficult emotions, and perform their best when it matters.978-3-030-09955-8978-3-319-70410-4
40#
發(fā)表于 2025-3-28 11:03:31 | 只看該作者
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