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» A Framework for Belief Update
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121
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JMLR
2010
202views more  JMLR 2010»
14 years 7 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
110
Voted
ATAL
2008
Springer
15 years 2 months ago
Internal models and private multi-agent belief revision
We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the singleagent case, based on the notion of interpretation, to th...
Guillaume Aucher
93
Voted
AI
2004
Springer
15 years 10 days ago
The limitation of Bayesianism
In the current discussion about the capacity of Bayesianism in reasoning under uncertainty, there is a conceptual and notational confusion between the explicit condition and the i...
Pei Wang
AI
2005
Springer
15 years 10 days ago
Knowledge updates: Semantics and complexity issues
We consider the problem of how an agent's knowledge can be updated. We propose a formal method of knowledge update on the basis of the semantics of modal logic S5. In our met...
Chitta Baral, Yan Zhang
FOMI
2009
14 years 10 months ago
Do you still want to vote for your favorite politician? Ask Ontobella!
Abstract. The paper presents the preliminary version of Ontobella - a domain ontology of beliefs. The philosophical assumptions of this system are taken from the philosophy of Roma...
Pawel Garbacz, Marek Lechniak, Piotr Kulicki, Robe...