European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
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ISBN 13 : 3642237835
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ISBN 10 : 9783642237836
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Judul : Machine Learning and Knowledge Discovery in Databases, Part II
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Sub Judul : European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings
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Pengarang :
Dimitrios Gunopulos,
Thomas Hofmann,
Donato Malerba,
Michalis Vazirgiannis,
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Kategori : Computers
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Penerbit : Springer
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Bahasa : en
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Tahun : 2011
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Halaman : 681
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Halaman : 681
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Google Book : https://play.google.com/store/books/details?id=bDaqCAAAQBAJ&source=gbs_api
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Ketersediaan :
It has been shown that transferring knowledge between several potentially
related learning tasks has improved performance. This scenario, termed multi-
task learning [6] or transfer learning [14], has gained considerable attention in the
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