Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kisynski, Jacek"'
Autor:
Kisynski, Jacek Jerzy
Representations that mix graphical models and first-order logic - called either first-order or relational probabilistic models — were proposed nearly twenty years ago and many more have since emerged. In these models, random variables are parameter
Externí odkaz:
http://hdl.handle.net/2429/23170
The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in AI, including data association and population estimation. This paper e
Externí odkaz:
http://arxiv.org/abs/1207.1375
Autor:
Kisynski, Jacek, Poole, David L
First-order probabilistic models combine representational power of first-order logic with graphical models. There is an ongoing effort to design lifted inference algorithms for first-order probabilistic models. We analyze lifted inference from the pe
Externí odkaz:
http://arxiv.org/abs/1205.2635
The promise of lifted probabilistic inference is to carry out probabilistic inference in a relational probabilistic model without needing to reason about each individual separately (grounding out the representation) by treating the undistinguished in
Externí odkaz:
http://arxiv.org/abs/1107.4035