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ICGI
1994
Springer
15 years 8 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
APN
2006
Springer
15 years 8 months ago
ArgoSPE: Model-Based Software Performance Engineering
Stochastic Petri nets (SPNs) have been proved useful for the quantitative analysis of systems. This paper introduces ArgoSPE, a tool for the performance evaluation of software syst...
Elena Gómez-Martínez, José Me...
FLAIRS
2008
15 years 6 months ago
A New Approach to Model-Based Diagnosis Using Probabilistic Logic
We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...
Nikita A. Sakhanenko, Roshan Rammohan, George F. L...
EUROS
2008
194views Robotics» more  EUROS 2008»
15 years 6 months ago
Compiling POMDP Models for a Multimodal Service Robot from Background Knowledge
This paper presents an approach to create POMDP models, used for decision making by an autonomous service robot, from background knowledge. This allows the power of POMDP decision ...
Sven R. Schmidt-Rohr, Rainer Jäkel, Martin L&...
NIPS
2008
15 years 5 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani