2011, ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
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2011, ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
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2011, ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
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2011, ISBN: 9783642347139
*Machine Learning and Interpretation in Neuroimaging* - International Workshop MLINI 2011 Held at NIPS 2011 Sierra Nevada Spain December 16-17 2011 Revised Selected and Invited Contributi… More...
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2011, ISBN: 9783642347139
Machine Learning and Interpretation in Neuroimaging - International Workshop MLINI 2011 Held at NIPS 2011 Sierra Nevada Spain December 16-17 2011 Revised Selected and Invited Contribution… More...
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2011, ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
2011, ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
2011
ISBN: 9783642347139
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neurosci… More...
2011, ISBN: 9783642347139
*Machine Learning and Interpretation in Neuroimaging* - International Workshop MLINI 2011 Held at NIPS 2011 Sierra Nevada Spain December 16-17 2011 Revised Selected and Invited Contributi… More...
2011, ISBN: 9783642347139
Machine Learning and Interpretation in Neuroimaging - International Workshop MLINI 2011 Held at NIPS 2011 Sierra Nevada Spain December 16-17 2011 Revised Selected and Invited Contribution… More...
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Details of the book - Machine Learning and Interpretation in Neuroimaging
EAN (ISBN-13): 9783642347139
Publishing year: 2011
Publisher: Springer-Verlag GmbH
Book in our database since 2016-01-31T19:00:39+00:00 (London)
Detail page last modified on 2023-09-16T21:03:15+01:00 (London)
ISBN/EAN: 9783642347139
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978-3-642-34713-9
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Book author: murphy, grosse, moritz, georg langs
Book title: machine learning, sierra nevada
Information from Publisher
Author: Georg Langs; Irina Rish; Moritz Grosse-Wentrup; Brian Murphy
Title: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Interpretation in Neuroimaging - International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
Publisher: Springer; Springer Berlin
266 Pages
Publishing year: 2012-11-11
Berlin; Heidelberg; DE
Language: English
48,14 € (DE)
49,50 € (AT)
54,50 CHF (CH)
Available
XIV, 266 p. 83 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Bildverarbeitung; Verstehen; classification; data mining; fMRI; multivariate encoding; multivariate pattern analysis (MVPA); C; Computer Imaging, Vision, Pattern Recognition and Graphics; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computer Vision; Computer and Information Systems Applications; Computer Science; Mustererkennung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; Maschinelles Sehen, Bildverstehen; Angewandte Informatik; BC
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.State-of-the-art contributions Interdisciplinary research Unique visibility
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