標(biāo)題: Titlebook: Advances in Intelligent Data Analysis VI; 6th International Sy A. Fazel Famili,Joost N. Kok,Ad Feelders Conference proceedings 2005 Springe [打印本頁] 作者: Tyler 時(shí)間: 2025-3-21 17:47
書目名稱Advances in Intelligent Data Analysis VI影響因子(影響力)
書目名稱Advances in Intelligent Data Analysis VI影響因子(影響力)學(xué)科排名
書目名稱Advances in Intelligent Data Analysis VI網(wǎng)絡(luò)公開度
書目名稱Advances in Intelligent Data Analysis VI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Intelligent Data Analysis VI被引頻次
書目名稱Advances in Intelligent Data Analysis VI被引頻次學(xué)科排名
書目名稱Advances in Intelligent Data Analysis VI年度引用
書目名稱Advances in Intelligent Data Analysis VI年度引用學(xué)科排名
書目名稱Advances in Intelligent Data Analysis VI讀者反饋
書目名稱Advances in Intelligent Data Analysis VI讀者反饋學(xué)科排名
作者: TAIN 時(shí)間: 2025-3-21 22:50 作者: atopic 時(shí)間: 2025-3-22 02:45 作者: 幻影 時(shí)間: 2025-3-22 07:43 作者: Flatter 時(shí)間: 2025-3-22 09:25
0302-9743 of disciplines all of which are related to the ?eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also pro978-3-540-28795-7978-3-540-31926-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Evocative 時(shí)間: 2025-3-22 13:46 作者: 小溪 時(shí)間: 2025-3-22 18:04
Probabilistic Latent Clustering of Device Usage,ovisions for vocational education (i.e. intended, enacted and experienced), the discussion in this chapter attempts to distinguish the particular kinds of decision-making that constitute these dimensions of curriculum. As in previous chapters, the discussion acknowledges that considerations of what 作者: inculpate 時(shí)間: 2025-3-22 23:19 作者: Preamble 時(shí)間: 2025-3-23 04:03
Modeling Conditional Distributions of Continuous Variables in Bayesian Networks,olicies and practices..Furthermore, the chapter has a specific focus on gender, given the fact that women—especially those with a migratory background—are under-represented in the Cypriot educational system and labour market. Finally, some interesting facts regarding children and youth with a migrat作者: 較早 時(shí)間: 2025-3-23 08:41 作者: MEET 時(shí)間: 2025-3-23 12:21
Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction,cant number of U.S. citizens, especially those who are capable of coining a variety of satirical and deprecatory terms using “voodoo” as an adjective implying irrational and manipulatory procedures—giving us such useful neologisms as “voodoo economics.”作者: Mediocre 時(shí)間: 2025-3-23 16:43
A Distance-Based Method for Preference Information Retrieval in Paired Comparisons,g. Meer consulten, met een langere duur zullen ingepland moeten worden. Het is aan te raden om gebruik te maken van video en foldermateriaal in het Turks over diabetes. Verder is het ontwikkelen van (visueel) materiaal omtrent de voeding bij diabetes in het Turks gewenst. Voor hulpverleners is kenni作者: 變化 時(shí)間: 2025-3-23 20:52 作者: deactivate 時(shí)間: 2025-3-23 23:24
Bayesian Networks Learning for Gene Expression Datasets,fwijkingen zijn opgebouwd (zoals vlekken, blaasjes, schilfers enzovoort) worden gede nieerd en toegelicht aan de hand van bijna 350 foto‘s van hoge kwaliteit. Van alle huidafwijkingen beschrijven de auteurs het klinisch beeld, de oorzaak, de gevolgen en eventueel de behandeling. Daardoor kan het boe作者: 不斷的變動(dòng) 時(shí)間: 2025-3-24 02:44 作者: AVERT 時(shí)間: 2025-3-24 06:57 作者: ABYSS 時(shí)間: 2025-3-24 11:30 作者: 精美食品 時(shí)間: 2025-3-24 14:54 作者: 斷言 時(shí)間: 2025-3-24 20:50 作者: Self-Help-Group 時(shí)間: 2025-3-25 02:10
A Knowledge-Based Model for Analyzing GSM Network Performance,ry dystonia vs. psychogenic causes vs. laryngopharyngeal reflux disease..Several pathophysiologic mechanisms for EILO are suggested. These include mechanical factors, laryngeal hypersensitivity, psychogenic predisposition, autonomic nervous system dysfunction, excessive laryngeal tension, respirator作者: Foregery 時(shí)間: 2025-3-25 03:28
The Dichotomy: A Methodological Interlude,at multiple latent variables (instead of a single one as in traditional PLSA) satisfying different types of constraints explain the observed variables of a job. We discuss the application of our model to the printing infrastructure in an office environment.作者: 閃光你我 時(shí)間: 2025-3-25 11:15
https://doi.org/10.1007/BFb0033696further by investigating sampling strategies which aim to balance the training set. Our results show that these sampling strategies usually lead to a performance improvement for highly imbalanced data sets having highly overlapped classes. In addition, over-sampling methods seem to outperform under-sampling methods.作者: FIS 時(shí)間: 2025-3-25 15:23
Classical, Discrete Spin Models during a group decision-making process. The proposed methodology solves two problems simultaneously: the problem of deriving preference weights when not all data are available and the implicit consensus problem. We consider an approximation methodology within a flexible and general distance framework for this purpose.作者: 性上癮 時(shí)間: 2025-3-25 19:24
,Duality transformation’s and dual models, to search for gene-to-gene causal mechanisms. Mapping hypothesized gene interactions against a domain theory of prior knowledge offers support and explanations for hypothesized interactions, and suggests gaps in the current domain theory, which induction might help fill.作者: 猛擊 時(shí)間: 2025-3-25 23:14 作者: 免除責(zé)任 時(shí)間: 2025-3-26 03:18
Spin models and their symmetry groups,pular dataset from the Inductive Logic Programming community, showing how we employ probabilistic inference and model learning for the construction of a probabilistic classifier based on Higher-Order Bayesian Networks.作者: Mere僅僅 時(shí)間: 2025-3-26 05:02 作者: modifier 時(shí)間: 2025-3-26 11:44
,Duality transformation’s and dual models,ned learning algorithms can successfully exploit the information contained in ambiguously labeled examples. Our results indicate that the fundamental idea of the extended methods, namely to disambiguate the label information by means of the inductive bias underlying (heuristic) machine learning methods, works well in practice.作者: 假 時(shí)間: 2025-3-26 16:05
Dominique Delande,Jakub Zakrzewskiates are used to find the input-output variable pairs involved in the most severe performance degradations. Finally, the resulting variable pairs are visualized as a tree-shaped cause-effect chain in order to allow user friendly analysis of the network performance.作者: 溝通 時(shí)間: 2025-3-26 17:20
Classical, Discrete Spin Models national laws protects this information and makes difficult the use of the datasets..work defines a new methodology for join the two datasets based on Genetic Algorithms. The approach proposed could be used in any case where data with different aggregation level need to be joined.作者: 簡略 時(shí)間: 2025-3-26 21:00 作者: Introduction 時(shí)間: 2025-3-27 02:10 作者: 蜈蚣 時(shí)間: 2025-3-27 08:16
Classical, Discrete Spin Models, the Spearman rank correlation is minimized by using a simple weighted voting procedure. Moreover, we discuss a loss function suitable for settings where candidate labels must be tested successively until a target label is found, and propose a ranking procedure for minimizing the corresponding risk.作者: Ligament 時(shí)間: 2025-3-27 09:27 作者: Indicative 時(shí)間: 2025-3-27 16:29 作者: 新鮮 時(shí)間: 2025-3-27 18:22
Gauge models on plaquette branches, conducted. We experimentally evaluated the quality of the solutions produced by kernel K-means on real datasets. Results indicated the feasibility of kernel K-means using our proposed kernel function to discover clusters embedded in categorical data.作者: 翻動(dòng) 時(shí)間: 2025-3-28 01:05 作者: 攝取 時(shí)間: 2025-3-28 04:30
,Duality transformation’s and dual models,n and authentication even when typing samples are written in different languages. As a consequence, we argue that keystroke analysis can be useful even when people may use different languages, in those areas where ascertaining personal identity is important or crucial, such as within Computer Security.作者: 金盤是高原 時(shí)間: 2025-3-28 08:19
Leon Cohen,H. Vincent Poor,Marlan O. Scullyde variety of science domains, supports feature-based analysis, and minimizes low-level processing. The discussion centers on the design of a data model and interface that best supports these goals and we present three usage examples.作者: 文字 時(shí)間: 2025-3-28 14:06 作者: Carcinogen 時(shí)間: 2025-3-28 16:46 作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-28 19:48
Classical, Discrete Spin Modelsinuous variables in Bayesian networks, especially as an alternative to discretization. In this paper we compare the behavior of two different approaches for constructing conditional MTE models in an example taken from Finance, which is a domain were uncertain variables commonly have continuous conditional distributions.作者: 巧辦法 時(shí)間: 2025-3-28 23:34 作者: 吝嗇性 時(shí)間: 2025-3-29 06:22
978-3-540-28795-7Springer-Verlag Berlin Heidelberg 2005作者: 群島 時(shí)間: 2025-3-29 08:32
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148492.jpg作者: commensurate 時(shí)間: 2025-3-29 13:51
The Dichotomy: A Methodological Interlude,ave access to a shared pool of devices delivering different kinds of service and service levels. Each invocation of a service by a user, called a job, is assumed to be logged simply as a co-occurrence of the identifier of the user and that of the device used. The data is best modelled by assuming th作者: 奇思怪想 時(shí)間: 2025-3-29 18:00 作者: misanthrope 時(shí)間: 2025-3-29 22:47 作者: 凝乳 時(shí)間: 2025-3-30 03:29 作者: bifurcate 時(shí)間: 2025-3-30 07:55 作者: 遺傳學(xué) 時(shí)間: 2025-3-30 12:15
Classical, Discrete Spin ModelsHowever, the use of these databases is very difficult due to the lack of cross-references..In Spain, two main public databases are available: Population and Housing Censuses and Family Expenditure Surveys. Both of them are published by Spanish Statistical Institute. These two databases can not be jo作者: DEI 時(shí)間: 2025-3-30 16:23
Classical, Discrete Spin Modelss use this inference tool to quantify the importance of a set of web sites. In this paper we deal with the problem of incomplete paired comparisons. Specifically, we focus on the problem of retrieving preference information (as priority weights) from incomplete pairwise comparison matrices generated作者: FLUSH 時(shí)間: 2025-3-30 18:33
Classical, Discrete Spin Modelss data and identifying patterns of groups of genes that behave differently or similarly under a set of experimental conditions is a major challenge. This has motivated researchers to consider multiple methods to identify patterns in the data and study the behaviour of hundreds of genes. This paper i作者: dominant 時(shí)間: 2025-3-30 22:02 作者: 埋葬 時(shí)間: 2025-3-31 01:30 作者: FAR 時(shí)間: 2025-3-31 08:51
Spin models and their symmetry groups,ure proposes Bayesian network as an appropriate tool for develop similar models. In this paper, we exploit the contribute of two Bayesian network learning algorithms to generate genetic networks from microarray datasets of experiments performed on Acute Myeloid Leukemia (AML)..In the results, we pre作者: 聯(lián)合 時(shí)間: 2025-3-31 10:36 作者: Spina-Bifida 時(shí)間: 2025-3-31 14:00
,Duality transformation’s and dual models,o ascertain personal identity. In this paper we provide experimental evidence that the typing dynamics of free text can be used for user identification and authentication even when typing samples are written in different languages. As a consequence, we argue that keystroke analysis can be useful eve作者: 鳥籠 時(shí)間: 2025-3-31 19:49
Spin models and their symmetry groups,n Networks with the expressive power of higher-order logics. We discuss how the proposed graphical model is used in order to define a probability distribution semantics over particular families of higher-order terms. We give an example of the application of our method on the Mutagenesis domain, a po作者: 過濾 時(shí)間: 2025-4-1 01:38
https://doi.org/10.1007/BFb0033696patterns that characterize the data. Popular approaches to such learning include statistical analysis and frequency based methods. We empirically compare these approaches and find that both approaches suffer from biases toward shorter sequences, and from inability to group together multiple instance作者: SPECT 時(shí)間: 2025-4-1 05:07 作者: 事先無準(zhǔn)備 時(shí)間: 2025-4-1 06:42
Classical, Discrete Spin Models as . (RPC), first induces pairwise order relations from suitable training data, using a natural extension of so-called pairwise classification. A ranking is then derived from a set of such relations by means of a .. This paper elaborates on a key advantage of such a decomposition, namely the fact t
