標(biāo)題: Titlebook: Analysis of Large and Complex Data; Adalbert F.X. Wilhelm,Hans A. Kestler Conference proceedings 2016 Springer International Publishing Sw [打印本頁(yè)] 作者: Deflated 時(shí)間: 2025-3-21 19:33
書目名稱Analysis of Large and Complex Data影響因子(影響力)
書目名稱Analysis of Large and Complex Data影響因子(影響力)學(xué)科排名
書目名稱Analysis of Large and Complex Data網(wǎng)絡(luò)公開度
書目名稱Analysis of Large and Complex Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Analysis of Large and Complex Data被引頻次
書目名稱Analysis of Large and Complex Data被引頻次學(xué)科排名
書目名稱Analysis of Large and Complex Data年度引用
書目名稱Analysis of Large and Complex Data年度引用學(xué)科排名
書目名稱Analysis of Large and Complex Data讀者反饋
書目名稱Analysis of Large and Complex Data讀者反饋學(xué)科排名
作者: 考古學(xué) 時(shí)間: 2025-3-21 22:33
Multivariate Functional Regression Analysis with Application to Classification Problems multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.作者: tangle 時(shí)間: 2025-3-22 01:35
https://doi.org/10.1007/978-3-319-25226-1Big Data; Classification; Cluster Analysis; Complex Data; Computational Statistics; Data Analysis; Musicol作者: 牢騷 時(shí)間: 2025-3-22 07:07 作者: HERTZ 時(shí)間: 2025-3-22 11:25
Adalbert F.X. Wilhelm,Hans A. KestlerOffers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.With contributions from a variety of interdisciplinary fields.S作者: nephritis 時(shí)間: 2025-3-22 16:01
Studies in Classification, Data Analysis, and Knowledge Organizationhttp://image.papertrans.cn/a/image/156388.jpg作者: 放肆的我 時(shí)間: 2025-3-22 19:12
Analysis of Large and Complex Data978-3-319-25226-1Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: 時(shí)間等 時(shí)間: 2025-3-22 21:51 作者: ASTER 時(shí)間: 2025-3-23 01:59
Quality Feature Space of Transmitted Speech, multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.作者: Externalize 時(shí)間: 2025-3-23 06:42
https://doi.org/10.1007/978-3-7643-8882-9between the realist and anti-realist positions within the classical test theory and item response theory(IRT) psychometric traditions in measurement of latent variables(Measurement 6:25–53, 2008; Salzberger and Koller, J Bus Res 66:1307–1317, 2013). However, this bi-polar view seems to be too distan作者: aggrieve 時(shí)間: 2025-3-23 10:06 作者: 人類學(xué)家 時(shí)間: 2025-3-23 15:07 作者: meretricious 時(shí)間: 2025-3-23 19:32
Pointwise Dimension for Hyperbolic Dynamicsd in terms of direct inducing of a hierarchy through use of the Baire metric; and (2) based on clusters found, selecting subsets of the original data for further analysis. In this work, we focus on random projectionthat is used for processing high dimensional data. A random projection, outputting a 作者: Postulate 時(shí)間: 2025-3-23 23:12
Quantitative Recurrence and Dimension Theoryses of criteria; we focus on those penalizing the log-likelihoodwith a penalty term, that accounts for model complexity. However, a full likelihood is not always computationally feasible. To overcome this issue, the likelihood is replaced with a surrogateobjective function. Thus, a question arises n作者: fledged 時(shí)間: 2025-3-24 05:07
General Concept of Multifractal Analysison-based. In this paper, we propose a method guided by the quadtreedecomposition. The principle of the method is to recursively decompose regions of a document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used 作者: Palter 時(shí)間: 2025-3-24 07:31
Pointwise Dimension for Hyperbolic Dynamics low-dimensional decision rules with interpretable signatures are of great importance. Feature selection processes are essential for fulfilling these design criteria. They select small subsets of highly informative features that can be starting points for new biological hypotheses and experiments. I作者: 我吃花盤旋 時(shí)間: 2025-3-24 14:30 作者: 持續(xù) 時(shí)間: 2025-3-24 17:53 作者: 歌曲 時(shí)間: 2025-3-24 19:06
Multidimensional Spectra and Number TheoryFor the many featurescase we look at projection methods, distance-based methods, and feature selection. For the many observationscase we mainly consider subsampling. The examples in this paper show that standard classificationmethods should not be blindly applied to Big Data.作者: 隱語(yǔ) 時(shí)間: 2025-3-25 00:35 作者: placebo 時(shí)間: 2025-3-25 07:14
Multidimensional Spectra and Number Theoryices, etc. This paper presents a comparison study for clusteringefficiency (according to adjusted Rand index) for spectral, ensemble, and spectral-mean shifted clusteringmethods for symbolic data. Evaluation studies with application of artificial data with known cluster structure (obtained from . an作者: cuticle 時(shí)間: 2025-3-25 10:15
Pointwise Dimension for Hyperbolic Dynamicsingand supervised classificationtasks. Motivated by the importance of pre-processing approaches in the traditional clusteringcontext, this paper explores to what extent supervised pre-processing steps could help traditional clusteringto obtain better performance on supervised clusteringtasks. This p作者: Ventricle 時(shí)間: 2025-3-25 14:35 作者: 單純 時(shí)間: 2025-3-25 19:28
Quality Feature Space of Transmitted Speech, multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real dat作者: ineffectual 時(shí)間: 2025-3-25 22:03
1431-8814 men in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process..978-3-319-25224-7978-3-319-25226-1Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: Pelago 時(shí)間: 2025-3-26 03:00 作者: 突襲 時(shí)間: 2025-3-26 07:12 作者: 放肆的你 時(shí)間: 2025-3-26 08:30
Using Annotated Suffix Tree Similarity Measure for Text Summarisationons of the VSM model, such as being dependent on the size of vocabulary, the length of sentences and demanding stemming or lemmatisation. This is achieved by taking all fuzzy matches between sentences into account and computing probabilities of matched concurrencies. For testing the method on Russia作者: 租約 時(shí)間: 2025-3-26 14:52
Quantitative Recurrence and Dimension Theoryaim of this paper is not to provide an exhaustive survey of model selection, but to show the main used criteria in a . mixture setting and how they can be adapted to a . context. In the last decade two criteria based on the observed composite likelihood were introduced. Here, we propose some new ext作者: 描述 時(shí)間: 2025-3-26 19:48
Product Structure of Hyperbolic Measurese MIMLSVM algorithm in combination with the .-Medoids clustering algorithm to transform the Multi-Instance to a Single-Instance representation. For the clusteringdistance measure we consider variants of the Hausdorff distance, namely Median- and Average-Based Hausdorff distance. Finally, active lear作者: 兩棲動(dòng)物 時(shí)間: 2025-3-26 21:11 作者: LEER 時(shí)間: 2025-3-27 04:36 作者: 報(bào)復(fù) 時(shí)間: 2025-3-27 07:04
Pointwise Dimension for Hyperbolic Dynamicst the utilized classificationmodel into their criteria. We examine these methods regarding their selection stability. These classifier independent measures are used to distinguish subgroups of algorithms and to identify valuable filter/classifier combinations for the application on microarray datasets.作者: 粘連 時(shí)間: 2025-3-27 09:45
Clustering and a Dissimilarity Measure for Methadone Dosage Time Seriesve information. The principle behind the measure can be used for other applications as well, in which there is more information about the meaning of categories than just that they are “ordinal” or “categorical”.作者: 愉快么 時(shí)間: 2025-3-27 14:23 作者: 胰島素 時(shí)間: 2025-3-27 21:23
1431-8814 h contributions from a variety of interdisciplinary fields.S.This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applica作者: novelty 時(shí)間: 2025-3-28 00:49
General Concept of Multifractal Analysis document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used for retrieving a given textual information from the obtained regions. Experiments on real invoice data provide promising results.作者: 休息 時(shí)間: 2025-3-28 06:07 作者: GLARE 時(shí)間: 2025-3-28 07:53
Textual Information Localization and Retrieval in Document Images Based on Quadtree Decomposition document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used for retrieving a given textual information from the obtained regions. Experiments on real invoice data provide promising results.作者: cardiovascular 時(shí)間: 2025-3-28 12:00 作者: 鍵琴 時(shí)間: 2025-3-28 14:42 作者: WAIL 時(shí)間: 2025-3-28 22:40
Dimension Theory and Thermodynamic Formalismused for management support via a BI front-end: starting with the project preparation and development via the ongoing project management up to a final evaluation. Benefits for patients, care providers, the ICS management company and health insurers will be characterised as well as the most crucial lessons learned specified.作者: 行業(yè) 時(shí)間: 2025-3-29 01:56
General Concept of Multifractal Analysis make only use of non-parametric resampling techniques for purposes of validation, where we are looking for clusters that can be reproduced to a high degree under resampling schemes. So, our proposed technique can be applied to almost any cluster analysis method.作者: 多嘴 時(shí)間: 2025-3-29 04:41 作者: Ovulation 時(shí)間: 2025-3-29 08:09
Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS “Gesused for management support via a BI front-end: starting with the project preparation and development via the ongoing project management up to a final evaluation. Benefits for patients, care providers, the ICS management company and health insurers will be characterised as well as the most crucial lessons learned specified.作者: uveitis 時(shí)間: 2025-3-29 13:15
Bottom-Up Variable Selection in Cluster Analysis Using Bootstrapping: A Proposal make only use of non-parametric resampling techniques for purposes of validation, where we are looking for clusters that can be reproduced to a high degree under resampling schemes. So, our proposed technique can be applied to almost any cluster analysis method.作者: Outshine 時(shí)間: 2025-3-29 18:53 作者: 審問 時(shí)間: 2025-3-29 22:40 作者: Parley 時(shí)間: 2025-3-30 01:28
Pointwise Dimension for Hyperbolic Dynamicsaper reports experiments which show that indeed standard clusteringalgorithms are competitive compared to existing supervised clusteringalgorithms when supervised pre-processing steps are carried out.作者: 敲詐 時(shí)間: 2025-3-30 05:45 作者: GLOOM 時(shí)間: 2025-3-30 10:34
Conference proceedings 2016he contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Da作者: AER 時(shí)間: 2025-3-30 14:29 作者: 攀登 時(shí)間: 2025-3-30 18:26 作者: BILE 時(shí)間: 2025-3-30 23:52 作者: obnoxious 時(shí)間: 2025-3-31 01:58
Latent Variables and Marketing Theory: The Paradigm Shiftbetween the realist and anti-realist positions within the classical test theory and item response theory(IRT) psychometric traditions in measurement of latent variables(Measurement 6:25–53, 2008; Salzberger and Koller, J Bus Res 66:1307–1317, 2013). However, this bi-polar view seems to be too distan作者: In-Situ 時(shí)間: 2025-3-31 09:06
Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS “Gese various health care players can be connected. Business intelligence (BI) technologies are seen as valuable tools to gain insights and value from these huge volumes of data. However so far there are just sparse experiences about BI used in the integrated care (IC) context. Therefore the aim of this作者: OPINE 時(shí)間: 2025-3-31 11:31 作者: 一大群 時(shí)間: 2025-3-31 14:42 作者: nugatory 時(shí)間: 2025-3-31 19:53
Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Modelses of criteria; we focus on those penalizing the log-likelihoodwith a penalty term, that accounts for model complexity. However, a full likelihood is not always computationally feasible. To overcome this issue, the likelihood is replaced with a surrogateobjective function. Thus, a question arises n作者: Dealing 時(shí)間: 2025-4-1 00:30
Textual Information Localization and Retrieval in Document Images Based on Quadtree Decompositionon-based. In this paper, we propose a method guided by the quadtreedecomposition. The principle of the method is to recursively decompose regions of a document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used 作者: 前奏曲 時(shí)間: 2025-4-1 03:40
Selection Stability as a Means of Biomarker Discovery in Classification low-dimensional decision rules with interpretable signatures are of great importance. Feature selection processes are essential for fulfilling these design criteria. They select small subsets of highly informative features that can be starting points for new biological hypotheses and experiments. I
