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PERVASIVE
2011
Springer
13 years 23 days ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
AAAI
2012
12 years 9 days ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
ICALT
2005
IEEE
14 years 3 months ago
Designing Educational Technology for Developing Regions: Some Preliminary Hypotheses
Based on our findings from an ongoing pilot with shared computers in rural primary schools in Uttar Pradesh, India since 2001 and two follow-up field studies in the same schools i...
Matthew Kam, Divya Ramachandran, Urvashi Sahni, Jo...
ICC
2007
IEEE
120views Communications» more  ICC 2007»
14 years 4 months ago
Dynamic Network Selection using Kernels
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
Eric van den Berg, Praveen Gopalakrishnan, Byungsu...
ICML
2006
IEEE
14 years 10 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...