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Titlebook: Handling Uncertainty in Artificial Intelligence; Jyotismita Chaki Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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11#
發(fā)表于 2025-3-23 10:45:01 | 只看該作者
12#
發(fā)表于 2025-3-23 14:26:34 | 只看該作者
higher stability of QDs against high current injection as compared to quantum wells. High reflectivities of above 99 % for undoped and p-type doped distributed Bragg reflectors based on ZnSe and MgS/ZnSe superlattices have been obtained. Monolithic vertical resonators possess a quality factor of about 100.
13#
發(fā)表于 2025-3-23 18:47:52 | 只看該作者
Jyotismita Chakis from capillary wave theory, we obtain results for the interfacial tension and the capillary length. The presented technique enables us to measure also the probability distribution of the tilt angle of the local interface normal and the vertical direction.
14#
發(fā)表于 2025-3-23 22:47:19 | 只看該作者
15#
發(fā)表于 2025-3-24 04:29:48 | 只看該作者
16#
發(fā)表于 2025-3-24 08:59:05 | 只看該作者
2191-530X uncertain situation.Includes examples of real-life uncertain.This book?demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility t
17#
發(fā)表于 2025-3-24 12:06:42 | 只看該作者
Jyotismita Chakiere, we review a novel technique for treating this situation in the case of ballistic interferometers, and discuss its application to the electronic Mach-Zehnder setup. We use the results to bring out the main features of decoherence in a many-fermion system and briefly discuss the same ideas in the context of weak localization.
18#
發(fā)表于 2025-3-24 15:33:01 | 只看該作者
Introduction to Handling Uncertainty in Artificial Intelligence, sources. These data may be untrustworthy because of their sources or gathering techniques, such as random sampling or other statistical methods rather than categorical means. Uncertainty may be caused by insufficient facts or information, as well as unclear or inconsistent information. The problem
19#
發(fā)表于 2025-3-24 23:00:56 | 只看該作者
Probability and Bayesian Theory to Handle Uncertainty in Artificial Intelligence,l intelligence. Many challenges in artificial intelligence (reasoning, planning, learning, perception, and robotics) need the agent to work with incomplete or imprecise knowledge. Artificial intelligence researchers have created a variety of sophisticated tools for tackling these challenges using pr
20#
發(fā)表于 2025-3-25 02:58:59 | 只看該作者
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