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AI
2002
Springer
15 years 7 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
ECIS
2000
15 years 9 months ago
Trust in Electronic Learning and Teaching Relationships: The Case of WINFO-Line
Electronic relationships in the context of electronic commerce and especially in the context of electronic learning and teaching are on the rise. However, besides the well known te...
Harald F. O. von Kortzfleisch, Udo Winand
JUCS
2006
185views more  JUCS 2006»
15 years 7 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...
JUCS
2010
186views more  JUCS 2010»
15 years 6 months ago
Context Awareness for Collaborative Learning with Uncertainty Management
: In Collaborative Learning, groups of students work together using traditional and computer-based tools or applications. Participants are continuously moving and reorganizing in g...
Roc Messeguer, Leandro Navarro, Pedro Damiá...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 8 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...