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CONCUR
2004
Springer
13 years 10 months ago
Probabilistic Event Structures and Domains
Abstract. This paper studies how to adjoin probability to event structures, leading to the model of probabilistic event structures. In their simplest form probabilistic choice is l...
Daniele Varacca, Hagen Völzer, Glynn Winskel
INLG
2010
Springer
13 years 2 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
IJCAI
1997
13 years 6 months ago
Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
David Poole
TIT
2010
170views Education» more  TIT 2010»
12 years 11 months ago
Belief propagation estimation of protein and domain interactions using the sum-product algorithm
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...
UAI
2008
13 years 6 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau