標(biāo)題: Titlebook: Handling Uncertainty in Artificial Intelligence; Jyotismita Chaki Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi [打印本頁(yè)] 作者: 尖酸好 時(shí)間: 2025-3-21 18:48
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書(shū)目名稱(chēng)Handling Uncertainty in Artificial Intelligence讀者反饋
書(shū)目名稱(chēng)Handling Uncertainty in Artificial Intelligence讀者反饋學(xué)科排名
作者: Celiac-Plexus 時(shí)間: 2025-3-21 21:52 作者: FER 時(shí)間: 2025-3-22 04:00
,The Dempster–Shafer Theory to Handle Uncertainty in Artificial Intelligence, This chapter discusses the basic terms used, the main components of the Dempster–Shafer theory, the Dempster–Shafer rule of combination, various case studies, and the advantages and limitations of the Dempster–Shafer theory.作者: 領(lǐng)導(dǎo)權(quán) 時(shí)間: 2025-3-22 05:00 作者: 類(lèi)型 時(shí)間: 2025-3-22 11:54 作者: Genistein 時(shí)間: 2025-3-22 16:38
Applications of Different Methods to Handle Uncertainty in Artificial Intelligence,sorder diagnosis, prognosis, therapy, and prevention while accounting for uncertainty and variability in symptoms, tests, outcomes, and treatments. Finally, social media analysis necessitates systems that can reason about social media users’ opinions, feelings, preferences, and behaviors while deali作者: HATCH 時(shí)間: 2025-3-22 20:25
Jyotismita Chakimagnetotransport in those lattices are strongly suppressed. At fields of several Tesla we enter the regime of the quantum Hall effect in the 2DEG, and we find a pronounced increase of the amplitude of 1/.-periodic magnetoresistance oscillations. The latter can be traced to an enhanced backscattering作者: 辯論 時(shí)間: 2025-3-22 23:32
Jyotismita Chakistructure splitting. Across the whole range of size variations within our multimodal quantum dot distribution a systematic trend from +520μeV to ?80μeV is found for decreasing dot size. To identify the underlying effects calculations of the fine-structure splitting are performed. A systematic variat作者: 短程旅游 時(shí)間: 2025-3-23 02:55 作者: 死貓他燒焦 時(shí)間: 2025-3-23 05:53 作者: nautical 時(shí)間: 2025-3-23 10:45 作者: 起波瀾 時(shí)間: 2025-3-23 14:26
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.作者: Fermentation 時(shí)間: 2025-3-23 18:47
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.作者: 惰性女人 時(shí)間: 2025-3-23 22:47 作者: Encephalitis 時(shí)間: 2025-3-24 04:29 作者: nocturia 時(shí)間: 2025-3-24 08:59
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作者: Goblet-Cells 時(shí)間: 2025-3-24 12:06
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.作者: EVEN 時(shí)間: 2025-3-24 15:33
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 作者: Wernickes-area 時(shí)間: 2025-3-24 23:00
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作者: Halfhearted 時(shí)間: 2025-3-25 02:58 作者: anarchist 時(shí)間: 2025-3-25 05:47
Certainty Factor and Evidential Reasoning to Handle Uncertainty in Artificial Intelligence,wledge. MYCIN, for instance, had mathematics called certainty factors for uncertain reasoning. Each rule was assigned a certainty factor, which is a quantifiable measure of how strongly the antecedent (left side) of the rule supports the conclusion (right side). The experts that produced the rules e作者: 專(zhuān)橫 時(shí)間: 2025-3-25 09:36 作者: 空氣 時(shí)間: 2025-3-25 14:16 作者: –吃 時(shí)間: 2025-3-25 17:37 作者: 磨碎 時(shí)間: 2025-3-25 22:51 作者: Generator 時(shí)間: 2025-3-26 00:42 作者: Schlemms-Canal 時(shí)間: 2025-3-26 06:51 作者: dermatomyositis 時(shí)間: 2025-3-26 12:02
Jyotismita Chakilectronic transport through disordered samples and mesoscopic interference setups, we have to treat a many-fermion system subject to a quantum bath. Here, we review a novel technique for treating this situation in the case of ballistic interferometers, and discuss its application to the electronic M作者: Mortar 時(shí)間: 2025-3-26 12:58 作者: VEIL 時(shí)間: 2025-3-26 17:30
Jyotismita Chakiavailable online.The present volume 46 of Advances in Solid State Physics contains the written versions of selected invited lectures from the spring meeting of the Arbeitskreis Festk?rperphysik of the Deutsche Physikalische Gesellschaft which was held from 27 to 31 March 2006 in Dresden, Germany. Ma作者: insular 時(shí)間: 2025-3-26 23:24
Jyotismita Chaki and the ease of integration into optoelectronic devices. Prerequisite for realistic applications is the ability to control the excitonic energies of the dot. A major step in this direction was recently reached by advanced self-organized quantum-dot growth, yielding ensembles of equally shaped InAs/作者: 緊張過(guò)度 時(shí)間: 2025-3-27 01:57
Jyotismita ChakiDemonstrates different numeric and symbolic methods of handling uncertainty in artificial intelligence.Highlights on making decisions under uncertain situation.Includes examples of real-life uncertain作者: genuine 時(shí)間: 2025-3-27 05:29
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/h/image/423923.jpg作者: PACT 時(shí)間: 2025-3-27 12:58
Jyotismita Chakietween the electron spins and the surrounding nuclei. Further we propose a scheme to narrow the distribution of difference in polarization between the two dots in order to suppress hyperfine induced decoherence.作者: GREEN 時(shí)間: 2025-3-27 16:19
Jyotismita ChakiDiscontinuous metal films have characteristics optical properties which can be related to many sources. They are discussed using silver as a particular metal. Surface roughness induces also some characteristics optical effects which are discussed also using silver as a model metal.作者: arthrodesis 時(shí)間: 2025-3-27 20:37
https://doi.org/10.1007/978-981-99-5333-2Dempster-Shafer Theory; Certainty factor and evidential reasoning; Cohen‘s theory of endorsements; Fuzz作者: 煩憂(yōu) 時(shí)間: 2025-3-27 23:09 作者: gratify 時(shí)間: 2025-3-28 02:11
Handling Uncertainty in Artificial Intelligence978-981-99-5333-2Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: 神圣不可 時(shí)間: 2025-3-28 08:40
to learn the optimal modifications for a query based on the feedback collecting from the researchers about the query retrieval performance. Empirical evaluations with 10 SLR datasets showed our approach to achieve comparable performance to that of queries manually composed by SLR authors.