Who is not fascinated by various images which show the brain functionality patterns? Aren't you amazed and somewhat dumbfounded when our brains can be read through an MRI machine? As the backbone of data mining, artificial intelligence has gradually received more recognition in academic world. Although specifically analyzing neuro-imaging data utilizing Artificial Neural Networks and Support Vector Machines, Peng's research has generally demonstrated the ability to achieve higher classification accuracy does not necessitate longer training time. With more intelligent algorithms and more efficient architectures, pattern recognition and classification can be performed more quickly and more accurately and will greatly benefit brain analysts.
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Peng Wang received his Bachelor's degree at McNeese State University, Lake Charles, LA, US, and his Master's degree at Auburn University, Auburn, AL, US. He had been fascinated by artificial intelligence since a teenager. He applied Artificial Neural Networks and Support Vector Machines to his Master thesis and achieved surprising results.
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Machine Learning Approaches for Disease State Classification | Peng Wang (u. a.) | Taschenbuch | 60 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659437434 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 105710698
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