標題: Titlebook: Data Analysis, Classification and the Forward Search; Proceedings of the M Sergio Zani,Andrea Cerioli,Maurizio Vichi Conference proceedings [打印本頁] 作者: Lipase 時間: 2025-3-21 17:12
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書目名稱Data Analysis, Classification and the Forward Search網(wǎng)絡公開度學科排名
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書目名稱Data Analysis, Classification and the Forward Search年度引用學科排名
書目名稱Data Analysis, Classification and the Forward Search讀者反饋
書目名稱Data Analysis, Classification and the Forward Search讀者反饋學科排名
作者: Acclaim 時間: 2025-3-21 20:31 作者: MONY 時間: 2025-3-22 01:29 作者: Coeval 時間: 2025-3-22 04:45
Genetic Algorithms-based Approaches for Clustering Time Seriesare considered for clustering (the number of clusters is assumed unknown). Both algorithms require a model to be fitted to each time series to obtain model parameters and residuals. These methods are applied to a real data set concerned with the visitors flow recorded, in state owned museums with paid admission, in the Lazio region of Italy.作者: 不能妥協(xié) 時間: 2025-3-22 09:14
Sequential Decisional Discriminant Analysisentire period, can be of particular benefit to the classifying decision on supplementary statistical units, of which we only have partial information about. An analysis using real data is here described using this method.作者: fatuity 時間: 2025-3-22 12:57
Regularized Sliced Inverse Regression with Applications in Classification introduction of a shrinkage parameter allows the method to be applied in under-resolution problems, such as those found in gene expression microarray data. The REGSIR method is illustrated on two different classification problems using real data sets.作者: fatuity 時間: 2025-3-22 17:08 作者: 蝕刻術(shù) 時間: 2025-3-22 23:41 作者: 擁護者 時間: 2025-3-23 02:31
https://doi.org/10.1007/978-3-030-30081-4imate the structural mean of a sample of curves. With the suggested methodology we analyze series of daily measurements of some air pollutants in Emilia-Romagna (a region in Northern Italy). We compare results with those obtained with other flexible and non parametric approaches used in functional data analysis.作者: 阻撓 時間: 2025-3-23 05:31
Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warpingimate the structural mean of a sample of curves. With the suggested methodology we analyze series of daily measurements of some air pollutants in Emilia-Romagna (a region in Northern Italy). We compare results with those obtained with other flexible and non parametric approaches used in functional data analysis.作者: 費解 時間: 2025-3-23 13:39
https://doi.org/10.1007/978-3-030-30081-4aphical representations for functional hierarchical clustering and functional .-means method in the first part of this paper. Then, in the second part, graphical representation of results of functional MDS. functional configuration is presented.作者: 喚起 時間: 2025-3-23 14:20 作者: LAIR 時間: 2025-3-23 19:03
Graphical Representation of Functional Clusters and MDS Configurationsaphical representations for functional hierarchical clustering and functional .-means method in the first part of this paper. Then, in the second part, graphical representation of results of functional MDS. functional configuration is presented.作者: 障礙 時間: 2025-3-24 01:22 作者: 用手捏 時間: 2025-3-24 03:47
A Generalization of the Polychoric Correlation Coefficient the normal distribution as a special case, but with an extra parameter to regulate the skewness. As for the original polychoric correlation coefficient, the new coefficient was estimated by the maximization of the log-likelihood function with respect to the thresholds of the continuous variables, t作者: 魯莽 時間: 2025-3-24 09:53
1431-8814 with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest978-3-540-35977-7978-3-540-35978-4Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: HOWL 時間: 2025-3-24 10:50 作者: 裁決 時間: 2025-3-24 18:52
https://doi.org/10.1007/978-3-030-54096-8 the normal distribution as a special case, but with an extra parameter to regulate the skewness. As for the original polychoric correlation coefficient, the new coefficient was estimated by the maximization of the log-likelihood function with respect to the thresholds of the continuous variables, t作者: incredulity 時間: 2025-3-24 21:55
Conference proceedings 2006Meulman (Dutch/Flemish Classification Society). Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest作者: Default 時間: 2025-3-25 03:10 作者: hair-bulb 時間: 2025-3-25 06:58 作者: cylinder 時間: 2025-3-25 10:52
Graphical Representation of Functional Clusters and MDS Configurations005) proposed functional data analysis. Functional data analysis enlarges the range of statistical data analysis. But, it is not easy to represent results of functional data analysis techniques. We focus on two methods of functional data analysis: functional clustering and functional MDS. We show gr作者: 祝賀 時間: 2025-3-25 12:41
Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warpingse, for computing the dissimilarity between curves, in this paper we modify the classical DTW in order to obtain discrete warping functions and to estimate the structural mean of a sample of curves. With the suggested methodology we analyze series of daily measurements of some air pollutants in Emil作者: 偏見 時間: 2025-3-25 19:18
Sequential Decisional Discriminant Analysisg is based on the research of principal axes of a configuration of points in the individual-space with a relational inner product. We are in presence of a discriminant analysis problem, in which the decision must be taken as the partial knowledge evolutionary information of the observations of the s作者: 有危險 時間: 2025-3-25 22:03
Regularized Sliced Inverse Regression with Applications in Classification extensively studied under the general subject of discriminant analysis in the statistical literature, or supervised pattern recognition in the machine learning field. Recently, dimension reduction methods, such as SIR. and SAVE, have been used for classification purposes. In this paper we propose a作者: Bumble 時間: 2025-3-26 00:34 作者: 反對 時間: 2025-3-26 07:39 作者: 委派 時間: 2025-3-26 11:36
Missing Data in Optimal Scalingng data. The proposal is based on Nonlinear PCA technique to be jointly used with an . imputation method for the treatment of missing data. The procedure is particularly suitable when dealing with ordinal, or mixed, variables, which are strongly interrelated and in the presence of Specific patterns 作者: 使饑餓 時間: 2025-3-26 13:43 作者: 津貼 時間: 2025-3-26 19:08 作者: 使聲音降低 時間: 2025-3-27 00:27
Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurationssuch analyses are applied to data for a sample drawn from a population. To assess how accurate the sample based plot is as a representation for the population, confidence intervals or ellipsoids can be constructed around each plotted point, using the bootstrap procedure. However, such a procedure ig作者: Ventilator 時間: 2025-3-27 03:00
Automatic Discount Selection for Exponential Family State-Space Models on a sequential optimization of a Bayes factor and is intended for on-line modelling purposes. In this paper, these results are extended to state-space models where the distribution of the observable variable belongs to the exponential family.作者: spondylosis 時間: 2025-3-27 09:13 作者: nauseate 時間: 2025-3-27 09:44
The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Modelsifications on random effect distribution. The multivariate distributions here introduced for the random effects belong to the family of the Multivariate Exponential Power (MEP) distributions. Our primary interest is devoted to the variability of such estimators, since the MEPs have a noteworthy infl作者: 性學院 時間: 2025-3-27 17:37
https://doi.org/10.1057/9781403983084ly mainly because of the several difficult issues involved. Among several available methods, genetic algorithms proved to be able to handle efficiently this topic. Several partitions are considered and iteratively selected according to some adequacy criterion. In this artificial “struggle for surviv作者: Osteons 時間: 2025-3-27 19:35 作者: Infraction 時間: 2025-3-27 22:19
https://doi.org/10.1007/978-3-030-30081-4005) proposed functional data analysis. Functional data analysis enlarges the range of statistical data analysis. But, it is not easy to represent results of functional data analysis techniques. We focus on two methods of functional data analysis: functional clustering and functional MDS. We show gr作者: 無瑕疵 時間: 2025-3-28 05:27 作者: Nonthreatening 時間: 2025-3-28 09:09 作者: dermatomyositis 時間: 2025-3-28 11:07
https://doi.org/10.1007/978-3-030-30081-4 extensively studied under the general subject of discriminant analysis in the statistical literature, or supervised pattern recognition in the machine learning field. Recently, dimension reduction methods, such as SIR. and SAVE, have been used for classification purposes. In this paper we propose a作者: BADGE 時間: 2025-3-28 17:56 作者: 兇殘 時間: 2025-3-28 22:28
Did Qiu Ju Get Good Legal Advice?ecture model where the number of hidden units are selected by using a variant of the real-coded Evolutionary Monte Carlo algorithm developed by Liang and Wong (2001) for inference and prediction in fixed architecture Bayesian Neural Networks.作者: Arb853 時間: 2025-3-29 00:01
Blood in the Bathroom: , as Gangster ,ng data. The proposal is based on Nonlinear PCA technique to be jointly used with an . imputation method for the treatment of missing data. The procedure is particularly suitable when dealing with ordinal, or mixed, variables, which are strongly interrelated and in the presence of Specific patterns 作者: 鋸齒狀 時間: 2025-3-29 03:20 作者: 考得 時間: 2025-3-29 11:12
Cinemas Dark and Slow in Digital IndiaM algorithms which guarantee the monotonicity property. Furthermore we propose different set of constraints which can be simply implemented. These procedures have been tested on the ground of many numerical experiments.作者: 無表情 時間: 2025-3-29 11:55 作者: 許可 時間: 2025-3-29 15:54
Cinemas Dark and Slow in Digital India on a sequential optimization of a Bayes factor and is intended for on-line modelling purposes. In this paper, these results are extended to state-space models where the distribution of the observable variable belongs to the exponential family.作者: 重力 時間: 2025-3-29 22:18
https://doi.org/10.1007/978-3-030-54096-8ate normally distributed random variables generate couples of ordinal scores. Categories of the two ordinal variables correspond to intervals of the corresponding continuous variables. Thus, measuring the association between ordinal variables means estimating the product moment correlation between t作者: 旁觀者 時間: 2025-3-30 01:29 作者: 有幫助 時間: 2025-3-30 05:34 作者: 到婚嫁年齡 時間: 2025-3-30 08:47 作者: WATER 時間: 2025-3-30 14:05
Variable Architecture Bayesian Neural Networks: Model Selection Based on EMCecture model where the number of hidden units are selected by using a variant of the real-coded Evolutionary Monte Carlo algorithm developed by Liang and Wong (2001) for inference and prediction in fixed architecture Bayesian Neural Networks.作者: confide 時間: 2025-3-30 18:57 作者: vitrectomy 時間: 2025-3-30 23:04 作者: Kaleidoscope 時間: 2025-3-31 03:34 作者: Digitalis 時間: 2025-3-31 07:15 作者: 懸崖 時間: 2025-3-31 12:27
The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Modelsifications on random effect distribution. The multivariate distributions here introduced for the random effects belong to the family of the Multivariate Exponential Power (MEP) distributions. Our primary interest is devoted to the variability of such estimators, since the MEPs have a noteworthy influence upon it.
