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Titlebook: Mathematical Methodologies in Pattern Recognition and Machine Learning; Contributions from t Pedro Latorre Carmona,J. Salvador Sánchez,Ana

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書(shū)目名稱Mathematical Methodologies in Pattern Recognition and Machine Learning
副標(biāo)題Contributions from t
編輯Pedro Latorre Carmona,J. Salvador Sánchez,Ana L.N.
視頻videohttp://file.papertrans.cn/627/626218/626218.mp4
概述Features applications of pattern recognition techniques to real-world problems with a focus on mathematical methodologies.Interdisciplinary research from leaders in the field.Contributions focus on cu
叢書(shū)名稱Springer Proceedings in Mathematics & Statistics
圖書(shū)封面Titlebook: Mathematical Methodologies in Pattern Recognition and Machine Learning; Contributions from t Pedro Latorre Carmona,J. Salvador Sánchez,Ana
描述.This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012.?The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field.?.?.This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and?for differential geometers and mathematical physicists. .
出版日期Conference proceedings 2013
關(guān)鍵詞Hierarchical Sparse Coding; ICPRAM 2012; Machine Learning; Pattern Recognition; Support Vector Machines
版次1
doihttps://doi.org/10.1007/978-1-4614-5076-4
isbn_softcover978-1-4939-0092-3
isbn_ebook978-1-4614-5076-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Automatic Annotation of a Dynamic Corpus by Label Propagation,ices based on the Reuters corpus, showing that relation-based classification is competitive with support vector machines, which can be considered as state of the art. We also show that the combination of our relation-based approach and support vector machines leads to an improvement over the methods
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2194-1009 able for scientists and researchers in optimization, numerical methods, computer science, statistics and?for differential geometers and mathematical physicists. .978-1-4939-0092-3978-1-4614-5076-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
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Juan Mendez,Javier Lorenzochanisms of cognitive dysfunction and novel avenues for therapeutic treatment. The researchers who contributed to this volume both reviewed the latest findings but also point to the directions of advancement of the field of neurotransmitter interactions and cognitive function..978-3-7643-7772-4Series ISSN 1664-431X Series E-ISSN 2504-3692
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