Zhiyuan Liu - Böcker
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14 produkter
14 produkter
1 432 kr
Skickas inom 7-10 vardagar
Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors. This book provides a structured analysis of the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the key techniques and important tools in transportation big data analysis.Covers big data applications in transportation engineering in real-world scenariosShows how to select different machine learning algorithms for processing, analyzing, and modeling transportation dataProvides an overview of the fundamental concepts of machine learning and how classical algorithms can be applied to transportation-related problemsProvides an overview of Python’s basic syntax and commonly used modules, enabling practical data analysis and modeling tasks using Python
Del 11221 - Lecture Notes in Computer Science
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
17th China National Conference, CCL 2018, and 6th International Symposium, NLP-NABD 2018, Changsha, China, October 19–21, 2018, Proceedings
Häftad, Engelska, 2018
552 kr
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This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018.The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.
Del 11856 - Lecture Notes in Computer Science
Chinese Computational Linguistics
18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings
Häftad, Engelska, 2019
536 kr
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This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering, text classification and summarization, knowledge graph and information extraction, machine translation and multilingual information processing, minority language processing, language resource and evaluation, social computing and sentiment analysis, NLP applications.
402 kr
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Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks.
641 kr
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heterogeneous graphs. Further, the book introduces different applications of NE such as recommendation and information diffusion prediction. Finally, the book concludes the methods and applications and looks forward to the future directions.
Del 9427 - Lecture Notes in Computer Science
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015, Guangzhou, China, November 13-14, 2015, Proceedings
Häftad, Engelska, 2015
552 kr
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This book constitutes the refereed proceedings of the 14th China National Conference on Computational Linguistics, CCL 2014, and of the Third International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2015, held in Guangzhou, China, in November 2015.The 34 papers presented were carefully reviewed and selected from 283 submissions. The papers are organized in topical sections on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation; multilinguality in NLP; machine learning methods for NLP; knowledge graph and information extraction; discourse, coreference and pragmatics; information retrieval and question answering; social computing; NLP applications.
Del 10035 - Lecture Notes in Computer Science
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings
Häftad, Engelska, 2016
552 kr
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This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016.
443 kr
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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate andgraduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Switching Arc Phenomena in Transmission Voltage Level Vacuum Circuit Breakers
Inbunden, Engelska, 2021
1 910 kr
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Nowadays, most circuit breakers used at transmission voltage level are SF6 circuit breakers, but the SF6 they emit is one of the six greenhouse gases defined in Kyoto Protocol. Next it explains how to determine the closing/opening displacement curve of transmission voltage level vacuum circuit breakers based on the vacuum arc phenomena.
1 381 kr
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Nowadays, most circuit breakers used at transmission voltage level are SF6 circuit breakers, but the SF6 they emit is one of the six greenhouse gases defined in Kyoto Protocol. Next it explains how to determine the closing/opening displacement curve of transmission voltage level vacuum circuit breakers based on the vacuum arc phenomena.
Del 16052 - Lecture Notes in Computer Science
Chinese Computational Linguistics
24th China National Conference, CCL 2025, Jinan, China, August 11–14, 2025, Proceedings
Häftad, Engelska, 2025
987 kr
Skickas inom 7-10 vardagar
Del 14761 - Lecture Notes in Computer Science
Chinese Computational Linguistics
23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings
Häftad, Engelska, 2024
987 kr
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This book constitutes the refereed proceedings of the 23rd China National Conference on Chinese Computational Linguistics, CCL 2024, held in Taiyuan, China, during July 25–28, 2024. The 34 full papers included in this book were carefully reviewed and selected from 320 submissions.
552 kr
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(2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning;
443 kr
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(2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning;