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ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
16 years 1 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
CCGRID
2008
IEEE
16 years 29 days ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
AIED
2005
Springer
16 years 17 hour ago
The Politeness Effect: Pedagogical Agents and Learning Gains
Pedagogical agent research seeks to exploit Reeves and Nass’s Media Equation, which holds that users respond to interactive media as if they were social actors. Investigations ha...
Ning Wang, W. Lewis Johnson, Richard E. Mayer, Pao...
SIGIR
2004
ACM
15 years 12 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 7 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà