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Seizure prediction with spectral power of EEG using cost-sensitive support vector machines

✍ Scribed by Yun Park; Lan Luo; Keshab K. Parhi; Theoden Netoff


Book ID
109113248
Publisher
Wiley (Blackwell Publishing)
Year
2011
Tongue
English
Weight
659 KB
Volume
52
Category
Article
ISSN
0013-9580

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Computational methods can be used to predict the effects of single amino acid substitutions (single-point mutations). In contrast to previous methods that need many protein sequence and structural features, we applied support vector machines (SVMs) to predict protein function changes associated with