標(biāo)題: Titlebook: Classification and Data Science in the Digital Age; Paula Brito,José G. Dias,Rebecca Nugent Conference proceedings‘‘‘‘‘‘‘‘ 2023 The Editor [打印本頁] 作者: Precise 時(shí)間: 2025-3-21 18:01
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作者: TATE 時(shí)間: 2025-3-22 00:01 作者: 燒瓶 時(shí)間: 2025-3-22 02:56 作者: Ordeal 時(shí)間: 2025-3-22 07:56 作者: Fecundity 時(shí)間: 2025-3-22 08:58
A New Regression Model for the Analysis of Microbiome Data,ead discrete distribution to analyze this kind of data is the Dirichletmultinomial. Despite its popularity, this distribution often fails in modeling microbiome data due to the strict parameterization imposed on its covariance matrix. The aim of this work is to propose a new distribution for analyzi作者: Decline 時(shí)間: 2025-3-22 16:32 作者: Decline 時(shí)間: 2025-3-22 19:04 作者: 拋媚眼 時(shí)間: 2025-3-23 00:22 作者: engagement 時(shí)間: 2025-3-23 03:17
Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendatiolable on online stores, it can become increasingly difficult for customers to identify. products that both satisfy their needs and represent the best deals overall. In this paper, we present a grocery recommender system based on the use of traditional machine learning methods aiming at assisting cus作者: 有常識 時(shí)間: 2025-3-23 08:44 作者: rectum 時(shí)間: 2025-3-23 13:01 作者: gonioscopy 時(shí)間: 2025-3-23 16:48 作者: 表狀態(tài) 時(shí)間: 2025-3-23 21:49
Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space,ich penalizes clusterings that are distant from classification of training documents given by experts. Reduced .-means (RKM) enables simultaneously clustering of documents and extraction of factors. By projection of documents represented in the vector space model on extracted factors, documents are 作者: 可商量 時(shí)間: 2025-3-23 23:12 作者: Hemiparesis 時(shí)間: 2025-3-24 04:21 作者: FOLLY 時(shí)間: 2025-3-24 08:31
Clustering Student Mobility Data in 3-Way Networks, types are linked. The proposed approach enables simplifying a 3-way network into a weighted two-mode network by considering the statistical concept of joint dependence in a multiway contingency table. Starting from a real application on student mobility data in Italian universities, a 3-way network作者: 雜役 時(shí)間: 2025-3-24 13:37 作者: 搜集 時(shí)間: 2025-3-24 16:44
Similarity Forest for Time Series Classification,sts, during already 20?years of existence, proved to be one of the most excellent methods, showing top performance across a vast array of domains, preserving simplicity, time efficiency, still being interpretable at the same time. However, its usage is limited to multidimensional data. Similarity fo作者: LEVY 時(shí)間: 2025-3-24 19:44
https://doi.org/10.1007/978-981-13-0671-6nalysis (PCA) or multiple correspondence analysis (MCA), depending on the type of variable, then classifies individuals into homogeneous group, relative to the structure of the variables considered. The proposed TCI method is presented and illustrated here using a real dataset with quantitative vari作者: 按等級 時(shí)間: 2025-3-25 02:27 作者: AMPLE 時(shí)間: 2025-3-25 06:56
Nikolaos Chaniotakis,Magdalini Papazoglous of interest for each customer, thus improving the prediction results. The highest average F-score of 0.499 for the considered dataset of 826 Canadian customers was obtained using the Random Forest prediction model which was compared to the Decision Tree, Gradient Boosting Tree, XGBoost, Logistic R作者: 憤慨一下 時(shí)間: 2025-3-25 08:28 作者: PANG 時(shí)間: 2025-3-25 13:33
Niki Nikonanou,Alexandra Bouniase prevention, as well as clustering different snapshots of the same network evolving over time to identify similar patterns or abrupt changes. We test our method in an empirical analysis whose goal is clustering brain connectomes to distinguish between patients affected by schizophrenia and healthy作者: Deduct 時(shí)間: 2025-3-25 16:53 作者: 完全 時(shí)間: 2025-3-25 21:33
Conference proceedings‘‘‘‘‘‘‘‘ 2023es a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classi作者: Atmosphere 時(shí)間: 2025-3-26 00:56
Classification and Data Science in the Digital Age作者: 周年紀(jì)念日 時(shí)間: 2025-3-26 06:05
A Topological Clustering of Individuals,nalysis (PCA) or multiple correspondence analysis (MCA), depending on the type of variable, then classifies individuals into homogeneous group, relative to the structure of the variables considered. The proposed TCI method is presented and illustrated here using a real dataset with quantitative vari作者: 反復(fù)無常 時(shí)間: 2025-3-26 12:21 作者: 細(xì)絲 時(shí)間: 2025-3-26 13:04 作者: Parabola 時(shí)間: 2025-3-26 19:00
Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space,n improves the average precision of classification by SVMs for the 25 largest classes of Reuters collection for about 5,5% with the same level of average recall in comparison to the basic representation in the vector space model. In the case of classification by logistic regression, representation b作者: 招人嫉妒 時(shí)間: 2025-3-26 23:52
Clustering Brain Connectomes Through a Density-Peak Approach,se prevention, as well as clustering different snapshots of the same network evolving over time to identify similar patterns or abrupt changes. We test our method in an empirical analysis whose goal is clustering brain connectomes to distinguish between patients affected by schizophrenia and healthy作者: 鉆孔 時(shí)間: 2025-3-27 05:11
Similarity Forest for Time Series Classification, similarity forest with 1-nearest neighbor and random forest on the UCR (University of California, Riverside) benchmark database.We show that similarity forest with DTW, taking into account mean ranks, outperforms other classifiers. The comparison is enriched with statistical analysis.作者: ovation 時(shí)間: 2025-3-27 09:05 作者: 憤慨一下 時(shí)間: 2025-3-27 11:32
1431-8814 and real-world applications in different areas.Benefits res.The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and m作者: 抓住他投降 時(shí)間: 2025-3-27 14:08 作者: AMOR 時(shí)間: 2025-3-27 19:30
Research on e-Learning and ICT in Educationterconnected by-pass fraud. This is a real-world problem from high-speed telecommunications data that clearly illustrates the need for online data stream processing. In the second study, we present an optimization algorithm for online hyper-parameter tuning from nonstationary data streams.作者: engender 時(shí)間: 2025-3-28 01:59 作者: frenzy 時(shí)間: 2025-3-28 03:46 作者: exostosis 時(shí)間: 2025-3-28 08:04 作者: BRUNT 時(shí)間: 2025-3-28 11:31
Kleopatra Nikolopoulou,Vasilis Gialamasrix. In order to cluster the . units in . groups, the spectral clustering application to three-way data can be a powerful tool for unsupervised classification. Here, one example on real three-way data have been presented showing that spectral clustering method is a competitive method to cluster this type of data.作者: cortisol 時(shí)間: 2025-3-28 16:52
Jackie Xiu Yan,Jun Pan,Honghua Wangional maximization algorithm (ECM). The performance of the proposed method is illustrated for simulated and real-world functional data, and CFunHDDC outperforms FunHDDC when applied to functional data with outliers.作者: Petechiae 時(shí)間: 2025-3-28 20:06
Jackie Xiu Yan,Jun Pan,Honghua Wangvided in case of one and two covariates, under Gaussian assumptions and in presence of only one real response variable. This work aims to extend these results to a more complex setting where three independent variables are considered.作者: 胰島素 時(shí)間: 2025-3-28 23:49 作者: 就職 時(shí)間: 2025-3-29 06:28
Jackie Xiu Yan,Jun Pan,Honghua Wanghlet-multinomial components. We illustrate how this mixture structure can improve a microbiome data analysis to cluster patients into “enterotypes”, which are a classification based on the bacteriological composition of gut microbiota. The comparison between the two models is performed through an application to a real gut microbiome dataset.作者: peptic-ulcer 時(shí)間: 2025-3-29 09:41
Nikolaos Chaniotakis,Magdalini Papazogloucterizes each block. Placing the estimate of the model parameters under the maximum likelihood approach, we derive a Variational Expectation–Maximization (VEM) algorithm for estimating the model’s parameters. The finality of the proposed VEM-LBRM is illustrated through simulated datasets.作者: 全部逛商店 時(shí)間: 2025-3-29 13:30 作者: 名次后綴 時(shí)間: 2025-3-29 17:03
Vassilios Makrakis,Nelly Kostoulas-Makrakisined parsimonious model-based clustering have been introduced which include the 14 parsimonious models that are often applied in model-based clustering when assuming normal components as limit cases. In this paper we initially review the traditional approaches and illustrate through an example the benefits of the adoption of the new constraints.作者: hankering 時(shí)間: 2025-3-29 22:37
Nicholas Zaranis,George M. Exarchakosnt exchanges represent the set of links between them. The Infomap community detection algorithm is then chosen for partitioning two-mode networks of students’ cohorts to discover different network patterns.作者: 格言 時(shí)間: 2025-3-30 01:42 作者: Neuralgia 時(shí)間: 2025-3-30 04:09
A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions,vided in case of one and two covariates, under Gaussian assumptions and in presence of only one real response variable. This work aims to extend these results to a more complex setting where three independent variables are considered.作者: MITE 時(shí)間: 2025-3-30 09:32
Generalized Spatio-Temporal Regression with PDE Penalization,splines or finite differences in time. Thanks to the use of finite elements, the proposed method is able to efficiently model data sampled over irregularly shaped spatial domains, with complicated boundaries. To illustrate the proposed model we present an application to study the criminality in the city of Portland, from 2015 to 2020.作者: 暫停,間歇 時(shí)間: 2025-3-30 14:53
A New Regression Model for the Analysis of Microbiome Data,hlet-multinomial components. We illustrate how this mixture structure can improve a microbiome data analysis to cluster patients into “enterotypes”, which are a classification based on the bacteriological composition of gut microbiota. The comparison between the two models is performed through an application to a real gut microbiome dataset.作者: 不遵守 時(shí)間: 2025-3-30 19:09 作者: Exonerate 時(shí)間: 2025-3-30 21:54
PcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains,our algorithm was measured by comparing it to the baseline TVI algorithm on a new probabilistic planning domain introduced in this study. Our pcTVI algorithm led to a speedup factor of 20, compared to traditional TVI (on a computer having 32 cores).作者: Cirrhosis 時(shí)間: 2025-3-31 02:55 作者: Cumulus 時(shí)間: 2025-3-31 07:37
Clustering Student Mobility Data in 3-Way Networks,nt exchanges represent the set of links between them. The Infomap community detection algorithm is then chosen for partitioning two-mode networks of students’ cohorts to discover different network patterns.作者: Left-Atrium 時(shí)間: 2025-3-31 09:32 作者: 榨取 時(shí)間: 2025-3-31 17:24 作者: 郊外 時(shí)間: 2025-3-31 17:45 作者: 窒息 時(shí)間: 2025-4-1 00:03
Jackie Xiu Yan,Jun Pan,Honghua Wangint groups. This typically consists in partitioning the observational space into several regions through particular hypersurfaces called decision boundaries. A geometrical analysis of these surfaces allows to highlight properties of the used classifier. In particular, a geometrical classification of作者: 五行打油詩 時(shí)間: 2025-4-1 05:43 作者: 圓錐 時(shí)間: 2025-4-1 09:31
Jackie Xiu Yan,Jun Pan,Honghua Wangead discrete distribution to analyze this kind of data is the Dirichletmultinomial. Despite its popularity, this distribution often fails in modeling microbiome data due to the strict parameterization imposed on its covariance matrix. The aim of this work is to propose a new distribution for analyzi作者: MUT 時(shí)間: 2025-4-1 11:21 作者: SEMI 時(shí)間: 2025-4-1 17:26
Research on Young Children’s Humoratistics Institutes (NSIs) to make methodological and practical choices for survey collection without the need for the direct contact of interviewing staff (i.e. remote survey data collection). Mixing telephone interviews (CATI) and computer-assisted web interviewing (CAWI) with direct contact of in
