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

Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem PDF Author: 陳耀男
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


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

Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem PDF Author: 陳耀男
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


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

Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification PDF Author: 羅國宣
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Multilabel Classification

Multilabel Classification PDF Author: Francisco Herrera
Publisher: Springer
ISBN: 331941111X
Category : Computers
Languages : en
Pages : 200

Book Description
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.

Neural Information Processing

Neural Information Processing PDF Author: Tom Gedeon
Publisher: Springer Nature
ISBN: 3030368025
Category : Computers
Languages : en
Pages : 802

Book Description
The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.

Computer Vision – ECCV 2020

Computer Vision – ECCV 2020 PDF Author: Andrea Vedaldi
Publisher: Springer Nature
ISBN: 303058545X
Category : Computers
Languages : en
Pages : 861

Book Description
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Neural Information Processing

Neural Information Processing PDF Author: Biao Luo
Publisher: Springer Nature
ISBN: 9819980739
Category : Computers
Languages : en
Pages : 621

Book Description
The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing

Neural Information Processing PDF Author: Akira Hirose
Publisher: Springer
ISBN: 3319466755
Category : Computers
Languages : en
Pages : 661

Book Description
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Neural Information Processing

Neural Information Processing PDF Author: Mohammad Tanveer
Publisher: Springer Nature
ISBN: 9819916399
Category : Computers
Languages : en
Pages : 741

Book Description
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.

Neural Information Processing

Neural Information Processing PDF Author: Derong Liu
Publisher: Springer
ISBN: 3319700871
Category : Computers
Languages : en
Pages : 951

Book Description
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.

Database and Expert Systems Applications

Database and Expert Systems Applications PDF Author: Christine Strauss
Publisher: Springer Nature
ISBN: 3031398211
Category : Computers
Languages : en
Pages : 497

Book Description
The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023. The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows: Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.