You are here

Home » Algoma University Theses collection » Computer Science series
» Class separation of target and non-target responses using unsupervised learning P300 speller-based BCIs

Class separation of target and non-target responses using unsupervised learning P300 speller-based BCIs

Submitted by koliver on Fri, 09/18/2015 - 14:27
Description
Responsibility: 
Connor D. Flood
Start Date: 
2015
End Date: 
2015
Date Range: 
2015 April 9 - 2015 April 14
Physical Description: 

0.9 cm of textual records

Physical Location
rec_shelfloc: 
2015-035-003
Repository: 
Algoma University Archive
Accession No: 
Algoma University theses collection
Container Number: 
003
Language: 
All material is in English.
GMD: 
electronic
textual record
Description Level: 
File
Document: 
PDF icon 2015-035_003_017_001.pdf
PDF icon 2015-035_003_017_002.pdf