標(biāo)題: Titlebook: Expert Systems and Probabilistic Network Models; Enrique Castillo,José Manuel Gutiérrez,Ali S. Hadi Book 1997 Springer-Verlag New York, In [打印本頁] 作者: 哪能仁慈 時間: 2025-3-21 20:06
書目名稱Expert Systems and Probabilistic Network Models影響因子(影響力)
書目名稱Expert Systems and Probabilistic Network Models影響因子(影響力)學(xué)科排名
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書目名稱Expert Systems and Probabilistic Network Models網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Expert Systems and Probabilistic Network Models被引頻次
書目名稱Expert Systems and Probabilistic Network Models被引頻次學(xué)科排名
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書目名稱Expert Systems and Probabilistic Network Models年度引用學(xué)科排名
書目名稱Expert Systems and Probabilistic Network Models讀者反饋
書目名稱Expert Systems and Probabilistic Network Models讀者反饋學(xué)科排名
作者: CRATE 時間: 2025-3-21 20:17 作者: tackle 時間: 2025-3-22 01:57
Grundlagen und Technologien des Ottomotorsrobability distribution (JPD) of the variables. Thus, the performance of a probabilistic expert system hinges on the correct specification of the JPD. Therefore, an important task for expert systems developers is to specify the JPD as accurately as possible. Human experts often collaborate to achieve this objective.作者: 徹底檢查 時間: 2025-3-22 08:22 作者: 白楊 時間: 2025-3-22 10:47
Die Hauptquellen der Philosophie Stahls, Chapter 5. Readers who wish to read more about graph theory are referred to books such as Harary (1969), Berge (1973), Bondy and Murty (1976), Golumbic (1980), Liu (1985), Ross and Wright (1988), and Biggs (1989).作者: 親愛 時間: 2025-3-22 13:20
,Die Ordnungsm??igkeit der Datenerfassung,hough some CISs in the probability model may not be represented by the graph. Consequently, the main limitation of graphical models is that they can only represent certain types of independence structures. The following example illustrates this limitation.作者: 親愛 時間: 2025-3-22 19:41 作者: 北極熊 時間: 2025-3-22 21:46
Some Concepts of Graphs, Chapter 5. Readers who wish to read more about graph theory are referred to books such as Harary (1969), Berge (1973), Bondy and Murty (1976), Golumbic (1980), Liu (1985), Ross and Wright (1988), and Biggs (1989).作者: 狗窩 時間: 2025-3-23 03:49 作者: 剝削 時間: 2025-3-23 09:12
Symbolic Propagation of Evidence,ranges of values for the parameters rather than their exact values. In such cases, the numeric propagation methods must be replaced by symbolic propagation methods, which are able to deal with the parameters themselves without assigning them numeric values.作者: Amenable 時間: 2025-3-23 11:00
Vergleich verschiedener Analysenmethoden,ence consists of updating the probability distributions of the variables according to the newly available evidence. For example, we need to calculate the conditional distribution of each element of a set of variables of interest (e.g., diseases) given the evidence (e.g., symptoms).作者: 極為憤怒 時間: 2025-3-23 16:19 作者: 闖入 時間: 2025-3-23 18:03 作者: coddle 時間: 2025-3-24 02:13 作者: 無能的人 時間: 2025-3-24 02:40
Learning Bayesian Networks,t and sometimes conflicting assessments due to the subjective nature of the process. In these situations, the dependency structure and the associated CPDs can be estimated from the data. This is referred to as ..作者: 錯 時間: 2025-3-24 07:30
Betriebswirtschaftliche Risikoanalyse,91), Durkin (1994), Hayes-Roth (1985), Waterman (1985), and also the readings edited by García and Chien (1991). A practical approach is also given in the book of Pedersen (1989), which includes several algorithms.作者: ONYM 時間: 2025-3-24 11:28 作者: 禁止 時間: 2025-3-24 15:19
Rule-Based Expert Systems,91), Durkin (1994), Hayes-Roth (1985), Waterman (1985), and also the readings edited by García and Chien (1991). A practical approach is also given in the book of Pedersen (1989), which includes several algorithms.作者: CRUC 時間: 2025-3-24 21:11
Graphically Specified Models,s of independence assumptions. However, these models are ad hoc because they are suitable only for the diseases-symptoms paradigms. In this chapter we show how more general dependency models are obtained using graphs. The basic idea consists of using undirected or directed graphs to build a dependency model.作者: 正式演說 時間: 2025-3-25 00:45
Monographs in Computer Sciencehttp://image.papertrans.cn/e/image/319201.jpg作者: Respond 時間: 2025-3-25 07:01
978-1-4612-7481-0Springer-Verlag New York, Inc. 1997作者: aphasia 時間: 2025-3-25 10:34 作者: Palate 時間: 2025-3-25 15:29 作者: 是比賽 時間: 2025-3-25 17:22 作者: Aggressive 時間: 2025-3-25 22:40 作者: MAUVE 時間: 2025-3-26 00:56 作者: 停止償付 時間: 2025-3-26 05:24 作者: abysmal 時間: 2025-3-26 09:09 作者: 擴張 時間: 2025-3-26 14:18
https://doi.org/10.1007/978-1-4612-2270-5Bayesian network; Probability theory; artificial intelligence; complexity; control; expert system; graph a作者: Bereavement 時間: 2025-3-26 17:07 作者: Grievance 時間: 2025-3-26 23:51 作者: 展覽 時間: 2025-3-27 03:54 作者: 蠟燭 時間: 2025-3-27 05:38 作者: MOAT 時間: 2025-3-27 09:47
Grundlagen und Technologien des Ottomotors the relationships among them. We have also seen that all the information about the relationships among a set of variables is contained in the joint probability distribution (JPD) of the variables. Thus, the performance of a probabilistic expert system hinges on the correct specification of the JPD.作者: hieroglyphic 時間: 2025-3-27 16:32
https://doi.org/10.1007/978-3-658-25064-5is represented by a joint probability distribution (JPD) of the set of variables of interest. The JPD is needed for the knowledge base of probabilistic expert systems. We have also seen in Chapter 3 that the most general JPD involves an infeasible large number of parameters. For this reason, simplif作者: 逢迎白雪 時間: 2025-3-27 19:34 作者: Lucubrate 時間: 2025-3-28 01:53 作者: Emasculate 時間: 2025-3-28 06:05
Michael Fr?hlich,Jochen Mayerl,Andrea Pieters associated with these methods. On one hand, some of these algorithms are not generally applicable to all types of network structures. For example, the polytrees algorithm (Section 8.3) applies only to networks with simple polytree structure. On the other hand, general exact propagation methods tha作者: 受傷 時間: 2025-3-28 09:12
https://doi.org/10.1007/978-3-663-13346-9uire that the joint probability distribution (JPD) of the model be specified numerically, that is, all the parameters must be assigned fixed numeric values. However, numeric specification of these parameters may not be available, or it may happen that the subject-matter specialists can specify only 作者: 軍械庫 時間: 2025-3-28 12:42 作者: Amendment 時間: 2025-3-28 15:32 作者: antenna 時間: 2025-3-28 19:47
Approximate Propagation Methods,rge cliques. This is not surprising because as we have seen in Chapter 8, the task of exact propagation has been proven to be .-hard (see Cooper (1990)). Thus, from the practical point of view, exact propagation methods may be restrictive or even inefficient in situations where the type of network s作者: 凝結(jié)劑 時間: 2025-3-28 23:13 作者: nostrum 時間: 2025-3-29 04:29 作者: PALMY 時間: 2025-3-29 07:37 作者: insurrection 時間: 2025-3-29 13:34 作者: NATAL 時間: 2025-3-29 19:01
Some Concepts of Graphs,probabilistic and other models used in artificial intelligence and expert systems. Many of the theoretical and practical results of graph theory can be used to analyze different aspects in this field. Readers who are familiar with these concepts can skim, or even skip, the chapter and go directly to作者: plasma 時間: 2025-3-29 23:40
