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» Arguing and Explaining Classifications
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TNN
2008
106views more  TNN 2008»
13 years 8 months ago
Unsupervised Segmentation With Dynamical Units
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
HUC
2010
Springer
13 years 7 months ago
Routine as resource for the design of learning systems
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
Scott Davidoff
CSCW
2011
ACM
13 years 3 months ago
Creating a context of trust with ICTs: restoring a sense of normalcy in the environment
This paper reports on an ethnographic study of the technology-enabled behavior that took place amongst a citizen population living in a conflict zone. We interviewed 65 Iraqi citi...
Bryan Semaan, Gloria Mark
JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
CHI
2011
ACM
13 years 6 days ago
User-defined motion gestures for mobile interaction
Modern smartphones contain sophisticated sensors to monitor three-dimensional movement of the device. These sensors permit devices to recognize motion gestures— deliberate movem...
Jaime Ruiz, Yang Li, Edward Lank