Machine Learning and Interpretation in Neuroimaging

Name: Machine Learning and Interpretation in Neuroimaging
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642347122
Price: 197.5 PLN
Availability: InStock

International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions

Autor: Georg Langs, Irina Rish, Moritz Grosse-Wentrup

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

197.50 zł

Brain imaging brings together the technology, methodology, research questions and approaches of a wi...

Informacje o książce

Autor

Georg Langs, Irina Rish, Moritz Grosse-Wentrup

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2012

strony

266

EAN

9783642347122

ISBN

3642347126

Enbook ID

01662563

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

448

Wymiary

234 x 157 x 19

Pełny opis

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.

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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

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również