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Showing 1 - 4 of
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Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings (Paperback, 1st ed. 2021)
Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernandez, Joao Gama
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R1,559
Discovery Miles 15 590
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 19th International
Symposium on Intelligent Data Analysis, IDA 2021, which was planned
to take place in Porto, Portugal. Due to the COVID-19 pandemic the
conference was held online during April 26-28, 2021.The 35 papers
included in this book were carefully reviewed and selected from 113
submissions. The papers were organized in topical sections named:
modeling with neural networks; modeling with statistical learning;
modeling language and graphs; and modeling special data formats.
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Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings (Paperback, 1st ed. 2021)
Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riano
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R2,684
Discovery Miles 26 840
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 19th
International Conference on Artificial Intelligence in Medicine,
AIME 2021, held as a virtual event, in June 2021. The 28 full
papers presented together with 30 short papers were selected from
138 submissions. The papers are grouped in topical sections on
image analysis; predictive modelling; temporal data analysis;
unsupervised learning; planning and decision support; deep
learning; natural language processing; and knowledge representation
and rule mining.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II (Paperback, 1st ed. 2015)
Annalisa Appice, Pedro Pereira Rodrigues, Vitor Santos Costa, Joao Gama, Alipio Jorge, …
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R1,662
Discovery Miles 16 620
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Ships in 10 - 15 working days
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The three volume set LNAI 9284, 9285, and 9286 constitutes the
refereed proceedings of the European Conference on Machine Learning
and Knowledge Discovery in Databases, ECML PKDD 2015, held in
Porto, Portugal, in September 2015. The 131 papers presented in
these proceedings were carefully reviewed and selected from a total
of 483 submissions. These include 89 research papers, 11 industrial
papers, 14 nectar papers, 17 demo papers. They were organized in
topical sections named: classification, regression and supervised
learning; clustering and unsupervised learning; data preprocessing;
data streams and online learning; deep learning; distance and
metric learning; large scale learning and big data; matrix and
tensor analysis; pattern and sequence mining; preference learning
and label ranking; probabilistic, statistical, and graphical
approaches; rich data; and social and graphs. Part III is
structured in industrial track, nectar track, and demo track.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I (Paperback, 1st ed. 2015)
Annalisa Appice, Pedro Pereira Rodrigues, Vitor Santos Costa, Carlos Soares, Joao Gama, …
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R1,648
Discovery Miles 16 480
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Ships in 10 - 15 working days
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The three volume set LNAI 9284, 9285, and 9286 constitutes the
refereed proceedings of the European Conference on Machine Learning
and Knowledge Discovery in Databases, ECML PKDD 2015, held in
Porto, Portugal, in September 2015. The 131 papers presented in
these proceedings were carefully reviewed and selected from a total
of 483 submissions. These include 89 research papers, 11 industrial
papers, 14 nectar papers, and 17 demo papers. They were organized
in topical sections named: classification, regression and
supervised learning; clustering and unsupervised learning; data
preprocessing; data streams and online learning; deep learning;
distance and metric learning; large scale learning and big data;
matrix and tensor analysis; pattern and sequence mining; preference
learning and label ranking; probabilistic, statistical, and
graphical approaches; rich data; and social and graphs. Part III is
structured in industrial track, nectar track, and demo track.
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