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Machine learning and interpretation ...

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Machine learning and interpretation in neuroimagingInternational Workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised selected and invited contributions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and interpretation in neuroimagingedited by Georg Langs ... [et al.].
Reminder of title:	International Workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised selected and invited contributions /
remainder title:	MLINI 2011
other author:	Langs, Georg.
corporate name:
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2012.
Description:	263 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-642-34713-9
ISBN:	9783642347139 (electronic bk.)

Machine learning and interpretation in neuroimagingInternational Workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised selected and invited contributions /
Machine learning and interpretation in neuroimagingInternational Workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised selected and invited contributions /[electronic resource] :MLINI 2011edited by Georg Langs ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2012. - 263 p. :ill., digital ;24 cm. - Lecture notes in computer science,0302-9743. - Lecture notes in computer science..

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.

ISBN: 9783642347139 (electronic bk.)Subjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .M55 2011

Dewey Class. No.: 006.31

Machine learning and interpretation in neuroimagingInternational Workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised selected and invited contributions /
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