Cost Sensitive Encoding For Label Space Dimension Reduction Algorithms On Multi Label Classification
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Author |
: 羅國宣 |
Publisher |
: |
Total Pages |
: |
Release |
: 2017 |
ISBN-10 |
: OCLC:983778453 |
ISBN-13 |
: |
Rating |
: 4/5 (53 Downloads) |
Synopsis Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification by : 羅國宣
Author |
: Francisco Herrera |
Publisher |
: Springer |
Total Pages |
: 200 |
Release |
: 2016-08-09 |
ISBN-10 |
: 9783319411118 |
ISBN-13 |
: 331941111X |
Rating |
: 4/5 (18 Downloads) |
Synopsis Multilabel Classification by : Francisco Herrera
This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.• The preprocessing techniques applicable to multi-label datasets.• The available software tools to work with multi-label data. This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.
Author |
: 陳耀男 |
Publisher |
: |
Total Pages |
: |
Release |
: 2012 |
ISBN-10 |
: OCLC:858344645 |
ISBN-13 |
: |
Rating |
: 4/5 (45 Downloads) |
Synopsis Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem by : 陳耀男
Author |
: Mohammad Tanveer |
Publisher |
: Springer Nature |
Total Pages |
: 741 |
Release |
: 2023-04-14 |
ISBN-10 |
: 9789819916399 |
ISBN-13 |
: 9819916399 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Neural Information Processing by : Mohammad Tanveer
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Author |
: 邱顯鈞 |
Publisher |
: |
Total Pages |
: |
Release |
: 2017 |
ISBN-10 |
: OCLC:1059539100 |
ISBN-13 |
: |
Rating |
: 4/5 (00 Downloads) |
Synopsis Multi-label Classification with Feature-aware Cost-sensitive Label Embedding by : 邱顯鈞
Author |
: 駱宏毅 |
Publisher |
: |
Total Pages |
: |
Release |
: 2013 |
ISBN-10 |
: OCLC:875646401 |
ISBN-13 |
: |
Rating |
: 4/5 (01 Downloads) |
Synopsis Cost-sensitive Multi-label Classification with Applications by : 駱宏毅
Author |
: Oded Maimon |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 1378 |
Release |
: 2006-05-28 |
ISBN-10 |
: 9780387254654 |
ISBN-13 |
: 038725465X |
Rating |
: 4/5 (54 Downloads) |
Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Author |
: Hendrik Blockeel |
Publisher |
: Springer |
Total Pages |
: 240 |
Release |
: 2012-05-31 |
ISBN-10 |
: 1461411467 |
ISBN-13 |
: 9781461411468 |
Rating |
: 4/5 (67 Downloads) |
Synopsis Predictive Clustering by : Hendrik Blockeel
This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a broad variety of learning tasks and offers a fresh perspective on existing techniques. The book presents an informal introduction to predictive clustering, describing learning tasks and settings, and then continues with a formal description of the paradigm, explaining algorithms for learning predictive clustering trees and predictive clustering rules, as well as presenting the applicability of these learning techniques to a broad range of tasks. Variants of decision tree learning algorithms are also introduced. Finally, the book offers several significant applications in ecology and bio-informatics. The book is written in a straightforward and easy-to-understand manner, aimed at varied readership, ranging from researchers with an interest in machine learning techniques to practitioners of data mining technology in the areas of ecology and bioinformatics.
Author |
: Jason Brownlee |
Publisher |
: Machine Learning Mastery |
Total Pages |
: 463 |
Release |
: 2020-01-14 |
ISBN-10 |
: |
ISBN-13 |
: |
Rating |
: 4/5 ( Downloads) |
Synopsis Imbalanced Classification with Python by : Jason Brownlee
Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.
Author |
: Shai Shalev-Shwartz |
Publisher |
: Cambridge University Press |
Total Pages |
: 415 |
Release |
: 2014-05-19 |
ISBN-10 |
: 9781107057135 |
ISBN-13 |
: 1107057132 |
Rating |
: 4/5 (35 Downloads) |
Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.