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» Covariance Kernels from Bayesian Generative Models
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CCS
2009
ACM
13 years 11 months ago
The bayesian traffic analysis of mix networks
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Carmela Troncoso, George Danezis
ACL
2007
13 years 9 months ago
A fully Bayesian approach to unsupervised part-of-speech tagging
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
Sharon Goldwater, Tom Griffiths
ACL
2011
12 years 11 months ago
An Unsupervised Model for Joint Phrase Alignment and Extraction
We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is...
Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shi...
WSC
2007
13 years 10 months ago
Simulation and uncertainty modeling of project schedules estimates
Project management involves various sources of uncertainty that affect planning, execution schedules, and cost. At the same time, the influx of information can be employed to redu...
Ivan Ourdev, Simaan M. AbouRizk, Mohammed Al-Batai...
ICML
2010
IEEE
13 years 8 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh