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Titlebook: Large Scale Hierarchical Classification: State of the Art; Azad Naik,Huzefa Rangwala Book 2018 The Author(s), under exclusive license to S

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发表于 2025-3-21 17:27:20 | 显示全部楼层 |阅读模式
书目名称Large Scale Hierarchical Classification: State of the Art
编辑Azad Naik,Huzefa Rangwala
视频video
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Large Scale Hierarchical Classification: State of the Art;  Azad Naik,Huzefa Rangwala Book 2018 The Author(s), under exclusive license to S
描述.This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms that were developed to solve the HC problem in large scale domains. Several challenges faced by LSHC is discussed in detail such as: .. 1. High imbalance between classes at different levels of the hierarchy..2. Incorporating relationships during model learning leads to optimization issues ..3. Feature selection ..4. Scalability due to large number of examples, features and classes ..5. Hierarchical inconsistencies ..6. Error propagation due to multiple decisions involved in making predictions for top-down methods.. The brief also demonstrates how multiple hierarchies can be leveraged forimproving the HC performance using different Multi-Task Learning (MTL) frameworks... The purpose of this book is two-fold:..1. Help novice researchers/beginners to get up to speed by providing a comprehensive overview of several existing techniques. ..2. Provid
出版日期Book 2018
关键词hierarchical classification; hierarchical inconsistencies; data mining; artificial intelligence; large s
版次1
doihttps://doi.org/10.1007/978-3-030-01620-3
isbn_softcover978-3-030-01619-7
isbn_ebook978-3-030-01620-3Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2018
The information of publication is updating

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发表于 2025-3-21 21:42:08 | 显示全部楼层
发表于 2025-3-22 02:47:34 | 显示全部楼层
Multi-task Learning,rld datasets are complex, and we often encounter situations where multiple tasks (classes) are related to each other. For example, consider an email spam classification where the goal is to learn classification model to categorize email as spam or legitimate for each user. Spam email for one user mi
发表于 2025-3-22 06:07:42 | 显示全部楼层
Conclusions and Future Research Directions,re associated with LSHC along with different approaches to solve it. Specifically, two of the chapters are devoted to discuss in detail about hierarchical inconsistencies and feature selection problems. We also discussed about the MTL learning paradigm that leverages multiple hierarchies classifying
发表于 2025-3-22 10:04:32 | 显示全部楼层
and/or abnormality in platelet function. Bleeding symptoms in patients with platelet disorders most commonly involve skin and mucous membrane bleeding. In females with platelet disorders, heavy menstrual bleeding is the most common bleeding symptom. In adolescents presenting for evaluation, a comple
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Azad Naik,Huzefa Rangwalaand/or abnormality in platelet function. Bleeding symptoms in patients with platelet disorders most commonly involve skin and mucous membrane bleeding. In females with platelet disorders, heavy menstrual bleeding is the most common bleeding symptom. In adolescents presenting for evaluation, a comple
发表于 2025-3-22 21:51:56 | 显示全部楼层
Azad Naik,Huzefa Rangwalaey are nonimmune hereditary hemolytic anemia, and patients present with variable degrees of pallor, episodic jaundice, splenomegaly, and elevated lactate dehydrogenase (LDH) levels. The underlying cause is the defects either in the organization of membrane structure or membrane transport function ar
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发表于 2025-3-23 06:07:19 | 显示全部楼层
Azad Naik,Huzefa Rangwalaey are nonimmune hereditary hemolytic anemia, and patients present with variable degrees of pallor, episodic jaundice, splenomegaly, and elevated lactate dehydrogenase (LDH) levels. The underlying cause is the defects either in the organization of membrane structure or membrane transport function ar
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