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Titlebook: Neural Information Processing; 23rd International C Akira Hirose,Seiichi Ozawa,Derong Liu Conference proceedings 2016 Springer Internationa

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发表于 2025-3-21 18:29:33 | 显示全部楼层 |阅读模式
书目名称Neural Information Processing
副标题23rd International C
编辑Akira Hirose,Seiichi Ozawa,Derong Liu
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Neural Information Processing; 23rd International C Akira Hirose,Seiichi Ozawa,Derong Liu Conference proceedings 2016 Springer Internationa
描述.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..
出版日期Conference proceedings 2016
关键词embedded systems; genetic algorithms; neural networks; pattern recognition; swarm intelligence; big data;
版次1
doihttps://doi.org/10.1007/978-3-319-46681-1
isbn_softcover978-3-319-46680-4
isbn_ebook978-3-319-46681-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Analysis and Knowledge Discovery by Means of Self-Organizing Maps for Gaia Data Releasesw, in order to process this data, the Gaia mission conceived the Data Processing and Analysis Consortium, which will apply data mining techniques such as Self-Organizing Maps. This paper shows a useful technique for source clustering, focusing on the development of an advanced visualization tool based on this technique.
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Data Analysis of Correlation Between Project Popularity and Code Change Frequencyelation between the project popularity and frequency of code changes. We have also found that the number of pull requests is 73.2 % more important to the popularity of a project than the number of watchers.
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Prioritising Security Tests on Large-Scale and Distributed Software Development Projects by Using Ses critical code to be tested. We argue that the approach is general enough to prioritise test tasks of most critical large-scale and distributed developed software such as: Operating Systems, Enterprise Resource Planning and Content Management systems.
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Extended Dependency-Based Word Embeddings for Aspect Extractiong recurrent models based methods, achieving a result comparable with the state-of-the-art method. It shows that it is an effective way to achieve better extraction performance by improving word representations.
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