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JUCS
2006
185views more  JUCS 2006»
13 years 10 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...
FLAIRS
2007
14 years 10 days ago
Explaining Task Processing in Cognitive Assistants that Learn
As personal assistant software matures and assumes more autonomous control of its users’ activities, it becomes more critical that this software can explain its task processing....
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
IMC
2007
ACM
13 years 11 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
HUC
2004
Springer
14 years 3 months ago
Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services
We present an automated transportation routing system, called “Opportunity Knocks,” whose goal is to improve the efficiency, safety and independence of individuals with mild co...
Donald J. Patterson, Lin Liao, Krzysztof Gajos, Mi...
AUSAI
2003
Springer
14 years 3 months ago
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
Kyung-Joong Kim, Sung-Bae Cho