Machine Learning and Interpretation in Neuroimaging is popular PDF and ePub book, written by Georg Langs in 2012-11-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Interpretation in Neuroimaging can be Read Online from any device for your convenience.

Machine Learning and Interpretation in Neuroimaging Book PDF Summary

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.

Detail Book of Machine Learning and Interpretation in Neuroimaging PDF

Machine Learning and Interpretation in Neuroimaging
  • Author : Georg Langs
  • Release : 11 November 2012
  • Publisher : Springer
  • ISBN : 9783642347139
  • Genre : Computers
  • Total Page : 277 pages
  • Language : English
  • PDF File Size : 15,9 Mb

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