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OKCON
2011
39views more  OKCON 2011»
14 years 10 months ago
Paragogy
This paper describes a new theory of peer-to-peer learning and teaching that we call paragogy. Paragogy's principles were developed by adapting the Knowles's principles...
Joseph Corneli, Charles Jeffrey Danoff
AAAI
2011
14 years 7 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
CVPR
2012
IEEE
13 years 10 months ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
14 years 3 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
14 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani