作者: 死貓他燒焦 時間: 2025-3-21 22:47 作者: 淡紫色花 時間: 2025-3-22 03:21
A Radial Basis Function Neural Network Training Mechanism for Pattern Classification Tasks,d cluster centers coincide with the centers of the network’s basis functions. The method of PSO is used to estimate the neuron connecting weights involved in the learning process. The proposed classifier is applied to three machine learning data sets, and its results are compared to other relative approaches that exist in the literature.作者: condescend 時間: 2025-3-22 06:32 作者: Halfhearted 時間: 2025-3-22 10:15 作者: 易碎 時間: 2025-3-22 14:22 作者: Audiometry 時間: 2025-3-22 20:29
Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm, surveillance, monitoring of complex systems/infrastructures such as energy networks or aircraft engines, system management in data centers). However, the learning aspect of unsupervised ranking has only received attention in the machine-learning community in the past few years. The Mass-Volume (MV)作者: 收到 時間: 2025-3-22 21:31 作者: compel 時間: 2025-3-23 03:44
Clustering Evaluation in High-Dimensional Data,rated cluster configurations. This is especially useful for comparing the performance of different clustering algorithms as well as determining the optimal number of clusters in clustering algorithms that do not estimate it internally. Many clustering quality indexes have been proposed over the year作者: landfill 時間: 2025-3-23 06:21
Combinatorial Optimization Approaches for Data Clustering,objects belong to the same group or cluster. The greater the similarity within a cluster and the greater the dissimilarity between clusters, the better the clustering task has been performed. Starting from the 1990s, cluster analysis has emerged as an important interdisciplinary field, applied to se作者: Preamble 時間: 2025-3-23 12:21
Kernel Spectral Clustering and Applications,zation setting. KSC represents a least-squares support vector machine-based formulation of spectral clustering described by a weighted kernel PCA objective. Just as in the classifier case, the binary clustering model is expressed by a hyperplane in a high dimensional space induced by a kernel. In ad作者: 閹割 時間: 2025-3-23 15:44 作者: 極力證明 時間: 2025-3-23 20:11 作者: 發(fā)微光 時間: 2025-3-23 23:27 作者: Canvas 時間: 2025-3-24 05:47 作者: Fibrillation 時間: 2025-3-24 08:16
Nonlinear Clustering: Methods and Applications,dical science, social science, and economics. According to the data distribution of clusters, data clustering problem can be categorized into linearly separable clustering and nonlinearly separable clustering. Due to the complex manifold of the real-world data, nonlinearly separable clustering is on作者: 有毒 時間: 2025-3-24 14:25 作者: 甜食 時間: 2025-3-24 18:01
Extending Kmeans-Type Algorithms by Integrating Intra-cluster Compactness and Inter-cluster Separaters are well-separated. However, most of kmeans-type clustering algorithms rely on only intra-cluster compactness while overlooking inter-cluster separation. In this chapter, a series of new clustering algorithms by extending the existing kmeans-type algorithms is proposed by integrating both intra-作者: 衍生 時間: 2025-3-24 20:15 作者: 為敵 時間: 2025-3-25 02:27 作者: 染色體 時間: 2025-3-25 05:11 作者: Condescending 時間: 2025-3-25 09:36
Mining Evolving Patterns in Dynamic Relational Networks,nderlying many complex systems. This recognition has resulted in a burst of research activity related to modeling, analyzing, and understanding the properties, characteristics, and evolution of such dynamic networks. The focus of this growing research has been on mainly defining important recurrent 作者: 步履蹣跚 時間: 2025-3-25 15:34 作者: 喪失 時間: 2025-3-25 16:23 作者: MOT 時間: 2025-3-25 23:38
Probabilistically Grounded Unsupervised Training of Neural Networks,sibly leading to improved pdf models. The focus is then moved from pdf estimation to online neural clustering, relying on maximum-likelihood training. Finally, extension of the techniques to the unsupervised training of generative probabilistic hybrid paradigms for sequences of random observations is discussed.作者: ethereal 時間: 2025-3-26 01:29
Rocco Langone,Raghvendra Mall,Carlos Alzate,Johan A. K. Suykenstanding of things.In this context, a thorough reexamination, even reconceptualization,of some of the core issuesis required..Firstly, the concept of water needs to be understood not as H2O, as it is done in physical sciences,bu978-3-030-69433-3978-3-030-69434-0Series ISSN 2193-3162 Series E-ISSN 2193-3170 作者: Bereavement 時間: 2025-3-26 08:06
ners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field..978-3-319-79590-4978-3-319-24211-8作者: 痛打 時間: 2025-3-26 11:25
Tülin ?nkaya,Sinan Kayal?gil,Nur Evin ?zdemirelch for deriving model equations of many planar and spatial mechanisms: 1. As a first step in DAE form along the systematic approach of Volume I. 2. As a second step in symbolic DE form, as 978-3-642-05695-6978-3-662-09769-4作者: 屈尊 時間: 2025-3-26 15:57
Anomaly Detection for Data with Spatial Attributes,t for anomaly detection. In the past decade, there have been efforts from the statistics community to enhance efficiency of scan statistics as well as to enable discovery of arbitrarily shaped anomalous regions. On the other hand, the data mining community has started to look at determining anomalou作者: 多節(jié) 時間: 2025-3-26 18:36
Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm, from (unlabeled) training data with nearly optimal MV curve when the dimension . of the feature space is high. It is the major purpose of this chapter to introduce such an algorithm which we call the . algorithm. Beyond its description and the statistical analysis of its performance, numerical expe作者: 配偶 時間: 2025-3-27 00:01
Genetic Algorithms for Subset Selection in Model-Based Clustering,assumes no clustering for the same subset. Thus, the problem amounts to finding the feature subset which maximises such a criterion. A search over the potentially vast solution space is performed using genetic algorithms, which are stochastic search algorithms that use techniques and concepts inspir作者: Kaleidoscope 時間: 2025-3-27 04:23
Clustering Evaluation in High-Dimensional Data,ing quality indexes. We analyze the stability and discriminative power of a set of standard clustering quality measures with increasing data dimensionality. Our evaluation shows that the curse of dimensionality affects different clustering quality indexes in different ways and that some are to be pr作者: 完整 時間: 2025-3-27 06:25 作者: Feigned 時間: 2025-3-27 09:27 作者: 錯 時間: 2025-3-27 16:13 作者: Preserve 時間: 2025-3-27 18:13 作者: 削減 時間: 2025-3-27 23:04
A Fuzzy-Soft Competitive Learning Approach for Grayscale Image Compression,ed methodology is rigorously compared to other relative approaches that exist in the literature. An interesting outcome of the simulation study is that although the proposed algorithm constitutes a fuzzy-based learning mechanism, it finally obtains computational costs that are comparable to crisp-ba作者: VERT 時間: 2025-3-28 05:39 作者: 英寸 時間: 2025-3-28 08:08
The Application of LSA to the Evaluation of Questionnaire Responses,natural language over time. The applications described in this chapter leverage LSA as an unsupervised system to learn language and provide a semantic framework that can be used for mapping natural language responses, evaluating the quality of those responses, and identifying relevant instructional 作者: 問到了燒瓶 時間: 2025-3-28 10:37 作者: osteopath 時間: 2025-3-28 16:47
Book 2016ngly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field..作者: 存在主義 時間: 2025-3-28 19:27 作者: 緯度 時間: 2025-3-29 02:29
Luca Scruccastruments and organisations for women’s issues, are reviewed to highlight the gap between international and ASEAN’s direction towards the advancement of women and local realities. Then, the activities of three ethnic women’s organisations in Myanmar are analysed to explain how three key components o作者: 音樂會 時間: 2025-3-29 05:52
Paola Festahealth as a means; I might trade it for other values, assets, or valuables, according to personal choice or milieu. Protecting or improving or trading health, its quantitative length as well as its qualitative standard, is a result of living, of voluntarily or involuntarily making decisions, choosin作者: geometrician 時間: 2025-3-29 09:17
Omid Keivani,Jose M. Pe?acking, as Hohfeld took care to stress through his use of examples from the cases, where the term ‘right’ is used to describe . relationship in which one party holds some sort of interest, regardless of whether that interest . imposes a correlative duty on another.作者: 連鎖,連串 時間: 2025-3-29 12:12
Derya Dinler,Mustafa Kemal Turalnerated .-algebra. Indeed, affinoid algebras share many properties with finitely generated .-algebras. However, the definitions and proofs in the world of affinoid algebras are often more technical than the corresponding features for finitely generated .-algebras. We hope that the examples of the te作者: 煩憂 時間: 2025-3-29 18:22 作者: mettlesome 時間: 2025-3-29 21:45
Chang-Dong Wang,Jian-Huang Lailt by engineers trained in quite different disciplines. Conventional methods of modeling rigid-body mechanisms In contrast to the comparatively simple and easy-to-learn basic laws of rigid- body systems, the practical application of these laws to the planar or spatial motions of industrial mechanism作者: 殘酷的地方 時間: 2025-3-30 03:11
Xiaohui Huang,Yunming Ye,Haijun Zhangep towards a more general theory of?.p.-adic cohomology over non-perfect ground fields.. .Rigid Cohomology over Laurent Series Fields.?will provide a useful tool for anyone interested in the arithmetic of varieties over local fields of positive characteristic. Appendices on important background mate作者: FEIGN 時間: 2025-3-30 05:02 作者: 重畫只能放棄 時間: 2025-3-30 12:09
Ka-Chun Wong,Yue Li,Zhaolei Zhang introduced such spaces in Bosch (Manuscr. Math. 20:1–27, .)..In Sect.?. admissible formal .-schemes and formal blowing-ups are defined. In a canonical way the generic fiber of an admissible formal .-scheme is a formal analytic space..In Sect.?. we will discuss the important result in Theorem?. of R作者: ALLAY 時間: 2025-3-30 13:17 作者: Alienated 時間: 2025-3-30 19:07
M. Emre Celebi,Kemal AydinContains the state-of-the-art in unsupervised learning in a single comprehensive volume.Features numerous step-by-step tutorials help the reader to learn quickly作者: OCTO 時間: 2025-3-30 21:22 作者: Obsessed 時間: 2025-3-31 02:44
https://doi.org/10.1007/978-3-319-24211-8Big Data Patterns; Data Analytics; Data Mining; Elements Statistical Learning; Genomic Data Sets; Machine作者: 使迷惑 時間: 2025-3-31 05:10 作者: 敏捷 時間: 2025-3-31 12:29 作者: 災禍 時間: 2025-3-31 16:23 作者: MANIA 時間: 2025-3-31 20:13
Luca Scruccadressing women’s issues and taking various initiatives regionally in line with an international trend in developing legislation and institutions related to women’s rights. However, whereas the situation of women has been improved significantly in many ways over the years, a flagrant violation of wom
