Coverart for item
The Resource 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, Georg Langs ... [et al.] (eds.), (electronic resource)

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, Georg Langs ... [et al.] (eds.), (electronic resource)

Label
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
Title
Machine learning and interpretation in neuroimaging
Title remainder
international workshop, MLINI 2011, held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011 : revised selected and invited contributions
Statement of responsibility
Georg Langs ... [et al.] (eds.)
Title variation
  • MLINI 2011
  • NIPS 2011
Creator
Contributor
Subject
Language
eng
Summary
Annotation:
Member of
Cataloging source
HUA
Dewey number
006.3/1
LC call number
Q325.5
LC item number
.M55 2011
http://bibfra.me/vocab/lite/meetingDate
2011
http://bibfra.me/vocab/lite/meetingName
MLINI (Workshop)
NLM call number
  • 2013 A-505
  • WL 141.5.N47
http://library.link/vocab/relatedWorkOrContributorDate
2011
http://library.link/vocab/relatedWorkOrContributorName
  • Langs, Georg
  • NIPS (Conference)
Series statement
  • LNCS sublibrary. SL 7, Artificial intelligence
  • Lecture notes in computer science. Lecture notes in artificial intelligence
  • Lecture notes in computer science,
Series volume
7263
http://library.link/vocab/subjectName
  • Neuroimaging
  • Artificial Intelligence
  • Image Interpretation, Computer-Assisted
Summary expansion
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
Label
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, Georg Langs ... [et al.] (eds.), (electronic resource)
Instantiates
Publication
Abbreviated title
Mach Learn Interpret Neuroimaging (2011)
Bibliography note
Includes bibliographical references and author index
Control code
OCM1bookssj0000810207
Dimensions
unknown
Isbn
9783642347139
Isbn Type
(e-ISBN)
Lccn
2012951409
Specific material designation
remote
System control number
(WaSeSS)bookssj0000810207
Label
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, Georg Langs ... [et al.] (eds.), (electronic resource)
Publication
Abbreviated title
Mach Learn Interpret Neuroimaging (2011)
Bibliography note
Includes bibliographical references and author index
Control code
OCM1bookssj0000810207
Dimensions
unknown
Isbn
9783642347139
Isbn Type
(e-ISBN)
Lccn
2012951409
Specific material designation
remote
System control number
(WaSeSS)bookssj0000810207

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