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Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, ... (Lecture Notes in Computer Science)
Georg Langs (Ed.)
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Description for Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, ... (Lecture Notes in Computer Science)
Paperback. Editor(s): Langs, Georg; Rish, Irina; Grosse-Wentrup, Moritz; Murphy, Brian. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 266 pages, 83 black & white illustrations, biography. BIC Classification: UB; UNF; UYAM; UYQP; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 400.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer
Format
Paperback
Publication date
2012
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Condition
New
Weight
400g
Number of Pages
266
Place of Publication
Berlin, Germany
ISBN
9783642347122
SKU
V9783642347122
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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