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JUCS
2006
185views more  JUCS 2006»
15 years 2 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 6 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
SIGSOFT
2005
ACM
16 years 3 months ago
KenyaEclipse: learning to program in eclipse
A fundamental part of a Computer Science degree is learning to program. Rather than starting students on a full commercial language, we favour using a dedicated "teaching lan...
Robert Chatley, Thomas Timbul
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 6 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
AAAI
1994
15 years 4 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider