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Celotno besedilo
  • 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
    Conference on Neural Information Processing (2011 ; Sierra Nevada); Machine Learning and Interpretation in Neuroimaging (2011 ; Sierra Nevada)
    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
    Vrsta gradiva - konferenčni zbornik
    Založništvo in izdelava - Berlin ; New York : Springer, cop. 2012
    Jezik - angleški
    ISBN - 978-3-642-34713-9; 3-642-34713-4
    COBISS.SI-ID - 1545483743

    Povezava(-e):

    SpringerLink e-books 2008-2012

    Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij

    Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions


    DOI

Nobena knjižnica v sistemu COBISS.SI nima izvoda tega gradiva (gre za elektronski vir ali pa poleg tiskane verzije obstaja tudi elektronska).
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