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AAAI
2006
15 years 8 months ago
Boosting Expert Ensembles for Rapid Concept Recall
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
Achim Rettinger, Martin Zinkevich, Michael H. Bowl...
MOBIHOC
2012
ACM
13 years 9 months ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang
HICSS
2009
IEEE
129views Biometrics» more  HICSS 2009»
16 years 1 months ago
Using Collaborative Filtering Algorithms as eLearning Tools
Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendat...
Frank Loll, Niels Pinkwart
ETS
2002
IEEE
150views Hardware» more  ETS 2002»
15 years 6 months ago
Assessing group learning and shared understanding in technology-mediated interaction
Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
Ingrid Mulder, Janine Swaak, Joseph Kessels
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
16 years 1 days ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk