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» Machine-Learning Applications of Algorithmic Randomness
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SIGSOFT
2008
ACM
14 years 8 months ago
Deriving input syntactic structure from execution
Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important info...
Zhiqiang Lin, Xiangyu Zhang
CAV
2009
Springer
187views Hardware» more  CAV 2009»
14 years 8 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 5 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
FOIKS
2008
Springer
14 years 5 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICASSP
2009
IEEE
14 years 2 months ago
Delay-based overlay construction in P2P video broadcast
We consider streaming video content over an overlay network of peer nodes. Each of the nodes employs a mesh-pull mechanism to organize the download of data units from its neighbou...
Jacob Chakareski, Pascal Frossard