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ALT
2009
Springer
15 years 7 months ago
Learning from Streams
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
Sanjay Jain, Frank Stephan, Nan Ye
WOSP
2005
ACM
15 years 3 months ago
A model transformation framework for the automated building of performance models from UML models
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...
Andrea D'Ambrogio
EPEW
2010
Springer
14 years 11 months ago
Composing Systems While Preserving Probabilities
Abstract. Restricting the power of the schedulers that resolve the nondeterminism in probabilistic concurrent systems has recently drawn the attention of the research community. Th...
Sonja Georgievska, Suzana Andova
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
SODA
2004
ACM
98views Algorithms» more  SODA 2004»
14 years 11 months ago
End-to-end packet-scheduling in wireless ad-hoc networks
Abstract Packet-scheduling is a particular challenge in wireless networks due to interference from nearby transmissions. A distance-2 interference model serves as a useful abstract...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...