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Showing 1 - 6 of
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Cognition and Recognition - 8th International Conference, ICCR 2021, Mandya, India, December 30-31, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
D S Guru, Sharath Kumar Y H, Balakrishna K, R. K. Agrawal, Manabu Ichino
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R2,739
Discovery Miles 27 390
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Ships in 10 - 15 working days
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This volume constitutes the refereed proceedings of the Eighth
International Conference on Cognition and Recognition, ICCR 2021,
held in Mandya, India, in December 2021.The 24 full papers and 9
short papers presented were carefully reviewed and selected from
150 submissions. The ICCR conference aims to bring together leading
academic Scientists, Researchers and Research scholars to exchange
and share their experiences and research results on all aspects of
Computer Vision, Image Processing Machine Learning and Deep
Learning Technologies.
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Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III (Paperback, 1st ed. 2021)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, …
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R2,755
Discovery Miles 27 550
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Ships in 10 - 15 working days
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The 3-volume set LNAI 12712-12714 constitutes the proceedings of
the 25th Pacific-Asia Conference on Advances in Knowledge Discovery
and Data Mining, PAKDD 2021, which was held during May 11-14,
2021.The 157 papers included in the proceedings were carefully
reviewed and selected from a total of 628 submissions. They were
organized in topical sections as follows: Part I: Applications of
knowledge discovery and data mining of specialized data; Part II:
Classical data mining; data mining theory and principles;
recommender systems; and text analytics; Part III: Representation
learning and embedding, and learning from data.
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Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II (Paperback, 1st ed. 2021)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, …
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R3,116
Discovery Miles 31 160
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Ships in 10 - 15 working days
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The 3-volume set LNAI 12712-12714 constitutes the proceedings of
the 25th Pacific-Asia Conference on Advances in Knowledge Discovery
and Data Mining, PAKDD 2021, which was held during May 11-14,
2021.The 157 papers included in the proceedings were carefully
reviewed and selected from a total of 628 submissions. They were
organized in topical sections as follows: Part I: Applications of
knowledge discovery and data mining of specialized data; Part II:
Classical data mining; data mining theory and principles;
recommender systems; and text analytics; Part III: Representation
learning and embedding, and learning from data.
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Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I (Paperback, 1st ed. 2021)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, …
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R3,139
Discovery Miles 31 390
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Ships in 10 - 15 working days
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The 3-volume set LNAI 12712-12714 constitutes the proceedings of
the 25th Pacific-Asia Conference on Advances in Knowledge Discovery
and Data Mining, PAKDD 2021, which was held during May 11-14,
2021.The 157 papers included in the proceedings were carefully
reviewed and selected from a total of 628 submissions. They were
organized in topical sections as follows: Part I: Applications of
knowledge discovery and data mining of specialized data; Part II:
Classical data mining; data mining theory and principles;
recommender systems; and text analytics; Part III: Representation
learning and embedding, and learning from data.
This book describes the need to develop classifiers for multi-class
problems which can provide better accuracy. SVMs deliver
state-of-the-art performance in real-world multi-class
classification applications such as text categorization,
hand-written character recognition, image classification,
biosequences analysis and intrusion detection. Their first
beginning in the early 1990s lead to a recent explosion of
applications and deepening theoretical analysis, that has now
recognized Support Vector Machines as one of the standard tools for
machine learning and data mining. The main goal of this book is to
develop SVM classifiers for multi-class problems which can provide
better accuracy. Students will find the book both stimulating and
accessible, while researchers will be guided smoothly through the
material required for a good grasp of the theory and application of
these classifiers. The concepts are introduced gradually in
accessible and self-contained stages, though in each stage the
presentation is meticulous and thorough. Pointers to relevant
literature ensure that it forms an ideal starting point for further
study.
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