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17 years 4 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...
PODC
2009
ACM
16 years 6 months ago
Brief announcement: global consistency can be easier than point-to-point communication
Global consistency or Byzantine Agreement (BA) and reliable point-to-point communication are two of the most important and well-studied problems in distributed computing. Informal...
Prasant Gopal, Anuj Gupta, Pranav K. Vasishta, Piy...
SAC
2009
ACM
16 years 29 days ago
Visualization of clustered directed acyclic graphs with node interleaving
Graph drawing and visualization represent structural information ams of abstract graphs and networks. An important subset of graphs is directed acyclic graphs (DAGs). E-Spring alg...
Pushpa Kumar, Kang Zhang
IPSN
2009
Springer
16 years 28 days ago
Recovering temporal integrity with Data Driven Time Synchronization
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
FM
2009
Springer
138views Formal Methods» more  FM 2009»
16 years 22 days ago
What Can Formal Methods Bring to Systems Biology?
This position paper argues that the operational modelling approaches from the formal methods community can be applied fruitfully within the systems biology domain. The results can ...
Nicola Bonzanni, K. Anton Feenstra, Wan Fokkink, E...
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