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AAAI
2008
15 years 6 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
AGI
2008
15 years 5 months ago
How Might Probabilistic Reasoning Emerge from the Brain?
: A series of hypotheses is proposed, connecting neural structures and dynamics with the formal structures and processes of probabilistic logic. First, a hypothetical connection is...
Ben Goertzel, Cassio Pennachin
UAI
2008
15 years 5 months ago
Continuous Time Dynamic Topic Models
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
Chong Wang, David M. Blei, David Heckerman
AAAI
2006
15 years 5 months ago
An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality
We show in this paper that the influential algorithm of iterative belief propagation can be understood in terms of exact inference on a polytree, which results from deleting enoug...
Arthur Choi, Adnan Darwiche
UAI
2001
15 years 5 months ago
Toward General Analysis of Recursive Probability Models
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Daniel Pless, George F. Luger