Multi Label Dimensionality Reduction

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Multi-Label Dimensionality Reduction

Author : Liang Sun
Publisher : CRC Press
ISBN 13 : 1439806160
Total Pages : 206 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multi-Label Dimensionality Reduction by : Liang Sun

Download or read book Multi-Label Dimensionality Reduction written by Liang Sun and published by CRC Press. This book was released on 2016-04-19 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks

Multi-label Dimensionality Reduction

Author : Liang Sun
Publisher :
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.:/5 (812 download)

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Book Synopsis Multi-label Dimensionality Reduction by : Liang Sun

Download or read book Multi-label Dimensionality Reduction written by Liang Sun and published by . This book was released on 2011 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-label learning, which deals with data associated with multiple labels simultaneously, is ubiquitous in real-world applications. To overcome the curse of dimensionality in multi-label learning, in this thesis I study multi-label dimensionality reduction, which extracts a small number of features by removing the irrelevant, redundant, and noisy information while considering the correlation among different labels in multi-label learning. Specifically, I propose Hypergraph Spectral Learning (HSL) to perform dimensionality reduction for multi-label data by exploiting correlations among different labels using a hypergraph. The regularization effect on the classical dimensionality reduction algorithm known as Canonical Correlation Analysis (CCA) is elucidated in this thesis. The relationship between CCA and Orthonormalized Partial Least Squares (OPLS) is also investigated. To perform dimensionality reduction efficiently for large-scale problems, two efficient implementations are proposed for a class of dimensionality reduction algorithms, including canonical correlation analysis, orthonormalized partial least squares, linear discriminant analysis, and hypergraph spectral learning. The first approach is a direct least squares approach which allows the use of different regularization penalties, but is applicable under a certain assumption; the second one is a two-stage approach which can be applied in the regularization setting without any assumption. Furthermore, an online implementation for the same class of dimensionality reduction algorithms is proposed when the data comes sequentially. A Matlab toolbox for multi-label dimensionality reduction has been developed and released. The proposed algorithms have been applied successfully in the Drosophila gene expression pattern image annotation. The experimental results on some benchmark data sets in multi-label learning also demonstrate the effectiveness and efficiency of the proposed algorithms.

Multilabel Classification

Author : Francisco Herrera
Publisher : Springer
ISBN 13 : 331941111X
Total Pages : 200 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Multilabel Classification by : Francisco Herrera

Download or read book Multilabel Classification written by Francisco Herrera and published by Springer. This book was released on 2016-08-09 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem

Author : 陳耀男
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem by : 陳耀男

Download or read book Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem written by 陳耀男 and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Information Processing

Author : Long Cheng
Publisher : Springer
ISBN 13 : 3030041824
Total Pages : 703 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Neural Information Processing by : Long Cheng

Download or read book Neural Information Processing written by Long Cheng and published by Springer. This book was released on 2018-12-03 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.

Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification

Author : 羅國宣
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (983 download)

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Book Synopsis Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification by : 羅國宣

Download or read book Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification written by 羅國宣 and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multiple Classifier Systems

Author : Zhi-Hua Zhou
Publisher : Springer
ISBN 13 : 3642380670
Total Pages : 409 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Multiple Classifier Systems by : Zhi-Hua Zhou

Download or read book Multiple Classifier Systems written by Zhi-Hua Zhou and published by Springer. This book was released on 2013-04-16 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.

Advances in Artificial Intelligence: From Theory to Practice

Author : Salem Benferhat
Publisher : Springer
ISBN 13 : 3319600427
Total Pages : 656 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Artificial Intelligence: From Theory to Practice by : Salem Benferhat

Download or read book Advances in Artificial Intelligence: From Theory to Practice written by Salem Benferhat and published by Springer. This book was released on 2017-06-10 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.

Neural Information Processing

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3319700871
Total Pages : 951 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Neural Information Processing by : Derong Liu

Download or read book Neural Information Processing written by Derong Liu and published by Springer. This book was released on 2017-11-07 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.

Advances in Knowledge Discovery and Data Mining, Part II

Author : Pang-Ning Tan
Publisher : Springer
ISBN 13 : 3642302203
Total Pages : 468 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining, Part II by : Pang-Ning Tan

Download or read book Advances in Knowledge Discovery and Data Mining, Part II written by Pang-Ning Tan and published by Springer. This book was released on 2012-05-10 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.

Engineering Applications of Neural Networks

Author : Lazaros S. Iliadis
Publisher : Springer
ISBN 13 : 3642410138
Total Pages : 532 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Engineering Applications of Neural Networks by : Lazaros S. Iliadis

Download or read book Engineering Applications of Neural Networks written by Lazaros S. Iliadis and published by Springer. This book was released on 2013-09-25 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Machine Learning and Knowledge Discovery in Databases

Author : Toon Calders
Publisher : Springer
ISBN 13 : 3662448513
Total Pages : 746 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Toon Calders

Download or read book Machine Learning and Knowledge Discovery in Databases written by Toon Calders and published by Springer. This book was released on 2014-09-01 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Foundations of Intelligent Systems

Author : Michelangelo Ceci
Publisher : Springer
ISBN 13 : 3030018512
Total Pages : 473 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Foundations of Intelligent Systems by : Michelangelo Ceci

Download or read book Foundations of Intelligent Systems written by Michelangelo Ceci and published by Springer. This book was released on 2018-10-22 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.

ECAI 2016

Author : G.A. Kaminka
Publisher : IOS Press
ISBN 13 : 1614996725
Total Pages : 1860 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis ECAI 2016 by : G.A. Kaminka

Download or read book ECAI 2016 written by G.A. Kaminka and published by IOS Press. This book was released on 2016-08-24 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.

Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions

Author : Andrzej M.J. Skulimowski
Publisher : Springer
ISBN 13 : 3319190903
Total Pages : 544 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions by : Andrzej M.J. Skulimowski

Download or read book Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions written by Andrzej M.J. Skulimowski and published by Springer. This book was released on 2016-02-25 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains some carefully selected papers presented at the 8th International Conference on Knowledge, Information and Creativity Support Systems KICCS’2013, which was held in Kraków and Wieliczka, Poland in November 2013. In most cases the papers are extended versions with newer results added, representing virtually all topics covered by the conference. The KICCS’2013 focus theme, “Looking into the Future of Creativity and Decision Support Systems”, clearly indicates that the growing complexity calls for some deeper and insightful discussions about the future but, obviously, complemented with an exposition of modern present developments that have proven their power and usefulness. Following this theme, the list of topics presented in this volume include some future-oriented fields of research, such as anticipatory networks and systems, foresight support systems, relevant newly-emerging applications, exemplified by autonomous creative systems. Special attention was also given to cognitive and collaborative aspects of creativity.

Machine Learning and Knowledge Discovery in Databases

Author : Peter A. Flach
Publisher : Springer
ISBN 13 : 3642334865
Total Pages : 891 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Peter A. Flach

Download or read book Machine Learning and Knowledge Discovery in Databases written by Peter A. Flach and published by Springer. This book was released on 2012-09-11 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

Multilinear Subspace Learning

Author : Haiping Lu
Publisher : CRC Press
ISBN 13 : 1439857296
Total Pages : 293 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multilinear Subspace Learning by : Haiping Lu

Download or read book Multilinear Subspace Learning written by Haiping Lu and published by CRC Press. This book was released on 2013-12-11 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniqu