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16 years 8 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...
ATAL
2006
Springer
15 years 1 months ago
Scalable and reliable data delivery in mobile ad hoc sensor networks
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
JUCS
2007
112views more  JUCS 2007»
14 years 9 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski
IFIP12
2009
14 years 7 months ago
Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks
: Early residential fire detection is important for prompt extinguishing and reducing damages and life losses. To detect fire, one or a combination of sensors and a detection algor...
Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havi...
TMC
2008
78views more  TMC 2008»
14 years 9 months ago
SELECT: Self-Learning Collision Avoidance for Wireless Networks
The limited number of orthogonal channels and autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on ...
Chun-cheng Chen, Eunsoo Seo, Hwangnam Kim, Haiyun ...