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Showing 1 - 6 of
6 matches in All Departments
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Artificial Intelligence - Second CCF International Conference, ICAI 2019, Xuzhou, China, August 22-23, 2019, Proceedings (Paperback, 1st ed. 2019)
Kevin Knight, Changshui Zhang, Geoff Holmes, Min-Ling Zhang
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R1,562
Discovery Miles 15 620
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second CCF
International Conference on Artificial Intelligence, CCF-ICAI 2019,
held in Xuzhou, China in August, 2019. The 23 papers presented were
carefully reviewed and selected from 97 submissions. The papers are
organized in topical sections on deep learning, image and video
processing, NLP and recommender system, machine learning
algorithms, and AI applications.
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Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings (Paperback, 1st ed. 2017)
Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, …
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R3,446
Discovery Miles 34 460
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 18th
International Conference on Intelligent Data Engineering and
Automated Learning, IDEAL 2017, held in Guilin, China, in
October/November 2017. The 65 full papers presented were carefully
reviewed and selected from 110 submissions. These papers provided a
sample of latest research outcomes in data engineering and
automated learning, from methodologies, frameworks and techniques
to applications. In addition to various topics such as evolutionary
algorithms, deep learning neural networks, probabilistic modelling,
particle swarm intelligence, big data analytics, and applications
in image recognition, regression, classification, clustering,
medical and biological modelling and prediction, text processing
and social media analysis.
This book constitutes the refereed proceedings of the 14th Pacific
Rim Conference on Artificial Intelligence, PRICAI 2016, held in
Phuket, Thailand, in August 2016. The 53 regular papers and 15
short papers presented in this volume were carefully reviewed and
selected from 161 submissions. Pricai covers a wide range of topics
such as AI foundations; applications of AI; semantic web;
information retrieval; constraint satisfaction; multimodal
interaction; knowledge representation; social networks; ad-hoc
networks; algorithms; software architecture; machine learning; and
smart modeling and simulation.
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Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
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R2,564
Discovery Miles 25 640
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Ships in 10 - 15 working days
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The three-volume set LNAI 11439, 11440, and 11441 constitutes the
thoroughly refereed proceedings of the 23rd Pacific-Asia Conference
on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau,
China, in April 2019. The 137 full papers presented were carefully
reviewed and selected from 542 submissions. The papers present new
ideas, original research results, and practical development
experiences from all KDD related areas, including data mining, data
warehousing, machine learning, artificial intelligence, databases,
statistics, knowledge engineering, visualization, decision-making
systems, and the emerging applications. They are organized in the
following topical sections: classification and supervised learning;
text and opinion mining; spatio-temporal and stream data mining;
factor and tensor analysis; healthcare, bioinformatics and related
topics; clustering and anomaly detection; deep learning models and
applications; sequential pattern mining; weakly supervised
learning; recommender system; social network and graph mining; data
pre-processing and featureselection; representation learning and
embedding; mining unstructured and semi-structured data; behavioral
data mining; visual data mining; and knowledge graph and
interpretable data mining.
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Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
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R2,566
Discovery Miles 25 660
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Ships in 10 - 15 working days
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The three-volume set LNAI 11439, 11440, and 11441 constitutes the
thoroughly refereed proceedings of the 23rd Pacific-Asia Conference
on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau,
China, in April 2019. The 137 full papers presented were carefully
reviewed and selected from 542 submissions. The papers present new
ideas, original research results, and practical development
experiences from all KDD related areas, including data mining, data
warehousing, machine learning, artificial intelligence, databases,
statistics, knowledge engineering, visualization, decision-making
systems, and the emerging applications. They are organized in the
following topical sections: classification and supervised learning;
text and opinion mining; spatio-temporal and stream data mining;
factor and tensor analysis; healthcare, bioinformatics and related
topics; clustering and anomaly detection; deep learning models and
applications; sequential pattern mining; weakly supervised
learning; recommender system; social network and graph mining; data
pre-processing and feature selection; representation learning and
embedding; mining unstructured and semi-structured data; behavioral
data mining; visual data mining; and knowledge graph and
interpretable data mining.
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Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III (Paperback, 1st ed. 2019)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
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R2,539
Discovery Miles 25 390
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Ships in 10 - 15 working days
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The three-volume set LNAI 11439, 11440, and 11441 constitutes the
thoroughly refereed proceedings of the 23rd Pacific-Asia Conference
on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau,
China, in April 2019. The 137 full papers presented were carefully
reviewed and selected from 542 submissions. The papers present new
ideas, original research results, and practical development
experiences from all KDD related areas, including data mining, data
warehousing, machine learning, artificial intelligence, databases,
statistics, knowledge engineering, visualization, decision-making
systems, and the emerging applications. They are organized in the
following topical sections: classification and supervised learning;
text and opinion mining; spatio-temporal and stream data mining;
factor and tensor analysis; healthcare, bioinformatics and related
topics; clustering and anomaly detection; deep learning models and
applications; sequential pattern mining; weakly supervised
learning; recommender system; social network and graph mining; data
pre-processing and featureselection; representation learning and
embedding; mining unstructured and semi-structured data; behavioral
data mining; visual data mining; and knowledge graph and
interpretable data mining.
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