標(biāo)題: Titlebook: Machine Learning Paradigms; Applications of Lear George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Book 2019 Springer Nature Switzerland AG [打印本頁(yè)] 作者: 母牛膽小鬼 時(shí)間: 2025-3-21 18:11
書目名稱Machine Learning Paradigms影響因子(影響力)
作者: 載貨清單 時(shí)間: 2025-3-21 21:06
Machine Learning Approaches for Pap-Smear Diagnosis: An Overviewgeneral (Normal and Abnormal cells) and 7 individual categories/classes: Superficial squamous epithelial, Intermediate squamous epithelial, Columnar epithelial, Mild squamous non-keratinizing dysplasia, Moderate squamous non-keratinizing dysplasia, Severe squamous non-keratinizing dysplasia and Squa作者: Thrombolysis 時(shí)間: 2025-3-22 00:55 作者: 冷淡一切 時(shí)間: 2025-3-22 07:59
Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitatculate a quantitative energy security index would be to focus on specific milestone time periods such as the first oil crisis of the 1970s, the first Gulf War of 1990–91, the Russian-Ukrainian disputes (2005–09), and the present time. The Chapter discusses how empirical geographical, energy, socioec作者: 紅潤(rùn) 時(shí)間: 2025-3-22 11:33 作者: assail 時(shí)間: 2025-3-22 15:00 作者: Munificent 時(shí)間: 2025-3-22 18:58
Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Damsays, the data acquisition paradigm is changing from a manual process, where measurements were taken with low frequency (e.g., on a weekly basis), to a fully automated process that allows much higher frequencies. This new paradigm escalates the potential of data analytics on top of monitoring data, b作者: AUGER 時(shí)間: 2025-3-22 21:35 作者: MOCK 時(shí)間: 2025-3-23 02:53
Social Media Analytics, Types and Methodologyechniques to generate a helping/support mechanism, answering the question “What should we do”. In order to perform any type of analysis, we first need to . the correct sources of information. Then, we need APIs to initialize .. Once data are available, . are performed, which involve dealing with noi作者: 休息 時(shí)間: 2025-3-23 07:12
2662-3447 ceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most. .978-3-030-15630-5978-3-030-15628-2Series ISSN 2662-3447 Series E-ISSN 2662-3455 作者: URN 時(shí)間: 2025-3-23 11:55
mpt to reduce the table as a whole to its color or geometrical shape — even if it were possible to do so — would be very revealing. On the other hand, perceptual states and physical states are not simply completely divergent in their respective structural features. To me, this seems to be something 作者: Truculent 時(shí)間: 2025-3-23 14:54 作者: 匯總 時(shí)間: 2025-3-23 19:17 作者: 豪華 時(shí)間: 2025-3-24 01:59
Anna Karen Garate Escamilla,Amir Hajjam El Hassani,Emmanuel Andrestely obvious. At least some characteristics of the physiologically relevant temporal relations as measured by a clock seem different from the phenomenologically relevant, experienced temporal relations which are genuinely directed toward the immediate past and future (see Hua III: 196–7).作者: colostrum 時(shí)間: 2025-3-24 04:25
Jose Li?ares Blanco,Marcos Gestal,Julián Dorado,Carlos Fernandez-Lozanompt to reduce the table as a whole to its color or geometrical shape — even if it were possible to do so — would be very revealing. On the other hand, perceptual states and physical states are not simply completely divergent in their respective structural features. To me, this seems to be something 作者: tenuous 時(shí)間: 2025-3-24 06:51
E. Karampotsis,G. Dounias,J. Jantzentely obvious. At least some characteristics of the physiologically relevant temporal relations as measured by a clock seem different from the phenomenologically relevant, experienced temporal relations which are genuinely directed toward the immediate past and future (see Hua III: 196–7).作者: obsession 時(shí)間: 2025-3-24 11:45 作者: 觀察 時(shí)間: 2025-3-24 15:53
Miltiadis Alamaniotisied Arnold (1666–1714), briefly a professor at Giessen, has been called “the first historian of German Spiritualism” because of his sympathetic work, entitled (misleadingly) . (1699); and Pierre Poiret (1646–1719), “the father of Romantic Mysticism in Germany,”. whose followers (in particular, the n作者: infringe 時(shí)間: 2025-3-24 20:17
John A. Paravantis,Athanasios Ballis,Nikoletta Kontoulis,Vasilios Dourmasitehead’s theology as an idle speculation. They will see in his God the abstract God of the philosopher, a principle needed for the whole metaphysical apparatus to be set in motion rather than what Whitehead takes it to be: a God immediately present in our inner life.作者: BILL 時(shí)間: 2025-3-24 23:12
itehead’s theology as an idle speculation. They will see in his God the abstract God of the philosopher, a principle needed for the whole metaphysical apparatus to be set in motion rather than what Whitehead takes it to be: a God immediately present in our inner life.作者: 膽小懦夫 時(shí)間: 2025-3-25 04:03
Apostolos Meliones,George Makrides the convoluted logical form of legal dispositions and contractual clauses, or because of conflicting priorities between concurring parties. In each case, Leibniz dissects the problems with the greatest ingenuity, disentangling their different aspects, and proposing solutions always reasonable and s作者: Anthropoid 時(shí)間: 2025-3-25 07:48 作者: terazosin 時(shí)間: 2025-3-25 12:05 作者: 孵卵器 時(shí)間: 2025-3-25 18:24 作者: Constrain 時(shí)間: 2025-3-25 22:35 作者: 擁擠前 時(shí)間: 2025-3-26 00:37 作者: JECT 時(shí)間: 2025-3-26 07:47 作者: 野蠻 時(shí)間: 2025-3-26 10:12 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-3-26 12:50
book are the result of intense discussion in the course of an international conference focused on the title question of this book, and were selected in view of their contribution to this topic. They are cluste978-1-4020-8668-7Series ISSN 2214-9775 Series E-ISSN 2214-9783 作者: Conduit 時(shí)間: 2025-3-26 17:52 作者: Biguanides 時(shí)間: 2025-3-26 21:32 作者: chandel 時(shí)間: 2025-3-27 04:40
2662-3447 research on machine learning paradigms.Written by recognized.This book is the inaugural volume in the new Springer series on .Learning and Analytics in Intelligent Systems.. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intellige作者: Feigned 時(shí)間: 2025-3-27 05:50
Book 2019 the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most. .作者: 種族被根除 時(shí)間: 2025-3-27 12:39 作者: 閹割 時(shí)間: 2025-3-27 14:02
Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learningattempt to generalize the model for all stocks would make our effort impossible. A use case with the famous US S&P 500 index has been also tested. We conclude with a discussion on the optimization of the accuracy of such systems.作者: Canvas 時(shí)間: 2025-3-27 20:10 作者: 半導(dǎo)體 時(shí)間: 2025-3-27 23:09
A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failurea comparison of the different techniques used to find the best performance. A conclusion of the best technique is also provided in this chapter. Some examples of the techniques are C4.5 tree, Na?ve Bayes, Bayesian Neural Networks (BNN), Support Vector Machine (SVM), Artificial Neural Network (ANN), Nearest Neighbor (KNN).作者: 護(hù)身符 時(shí)間: 2025-3-28 03:01 作者: RAFF 時(shí)間: 2025-3-28 09:32 作者: 預(yù)防注射 時(shí)間: 2025-3-28 11:26
Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research the understanding of complex, multi-factorial and heterogeneous diseases such as cancer. Profiling of transcriptome is used for searching the genes that show differences in their expression level associated with a particular response. RNA-seq data allows researchers to study millions of short reads作者: 未成熟 時(shí)間: 2025-3-28 15:17
Machine Learning Approaches for Pap-Smear Diagnosis: An Overviewl data analysis problems, such as optimizing the Pap-Smear or Pap-Test diagnosis. Pap-Smear or Pap-Test is a method for diagnosing Cervical Cancer (4th leading cause of female cancer and 2nd common female cancer in the women aged 14–44?years old), invented by Dr. George Papanicolaou in 1928 (Bruni e作者: 混沌 時(shí)間: 2025-3-28 19:00
Multi-kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systemsa new machine learning paradigm is presented focusing on the analysis of recorded electricity load data. The presented paradigm utilizes a set of multiple kernel functions to analyze a load signal into a set of components. Each component models a set of different data properties, while the coefficie作者: 助記 時(shí)間: 2025-3-28 23:48
Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitat to energy security research that aims to estimate a quantitative energy security index with a geopolitical focus, by providing an in-depth dynamic geopolitical look into the history, evolution, dimensions, data, estimation, taxonomy, and forecasts of energy security. Discussion is complemented with作者: GROG 時(shí)間: 2025-3-29 06:19
Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning in which the process of forecasting is based on Machine Learning. The system has been developed following the cloud computing paradigm consisting of a backend application in Google’s API Hosting Cloud and using an Android front end using inspiring, contemporary styles of tools and libraries and har作者: Synovial-Fluid 時(shí)間: 2025-3-29 09:41 作者: 爵士樂 時(shí)間: 2025-3-29 12:12 作者: Maximize 時(shí)間: 2025-3-29 16:38 作者: 博愛家 時(shí)間: 2025-3-29 21:16
Analytics and Evolving Landscape of Machine Learning for Emergency Responseision makers. This has resulted in new challenges related to the effective management of large volumes of data. In this regard, the role of machine learning in mass emergency and humanitarian crises is constantly evolving and gaining traction. As a branch of artificial intelligence, machine learning
