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17 years 2 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
WWW
2009
ACM
16 years 5 months ago
Social search in "Small-World" experiments
The "algorithmic small-world hypothesis" states that not only are pairs of individuals in a large social network connected by short paths, but that ordinary individuals ...
Sharad Goel, Roby Muhamad, Duncan J. Watts
WWW
2008
ACM
16 years 5 months ago
Sewnet -: a framework for creating services utilizing telecom functionality
With Telecom market reaching saturation in many geographies and revenues from voice calls decreasing, Telecom operators are trying to identify new sources of revenue. For this pur...
Sumit Mittal, Dipanjan Chakraborty, Sunil Goyal, S...
MOBISYS
2009
ACM
16 years 5 months ago
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
MOBISYS
2009
ACM
16 years 5 months ago
xShare: supporting impromptu sharing of mobile phones
Loaded with personal data, e.g. photos, contacts, and call history, mobile phones are truly personal devices. Yet it is often necessary or desirable to share our phones with other...
Yunxin Liu, Ahmad Rahmati, Yuanhe Huang, Hyukjae J...
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