Sciweavers

18 search results - page 3 / 4
» Finding Most Probable Worlds of Probabilistic Logic Programs
Sort
View
PODS
2007
ACM
196views Database» more  PODS 2007»
14 years 7 months ago
On the complexity of managing probabilistic XML data
In [3], we introduced a framework for querying and updating probabilistic information over unordered labeled trees, the probabilistic tree model. The data model is based on trees ...
Pierre Senellart, Serge Abiteboul
JELIA
2004
Springer
14 years 1 months ago
Practical Reasoning for Uncertain Agents
Logical formalisation of agent behaviour is desirable, not only in order to provide a clear semantics of agent-based systems, but also to provide the foundation for sophisticated r...
Nivea de Carvalho Ferreira, Michael Fisher, Wiebe ...
JMLR
2006
125views more  JMLR 2006»
13 years 7 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 11 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
VRCAI
2004
ACM
14 years 1 months ago
Explorative construction of virtual worlds: an interactive kernel approach
Despite steady research advances in many aspects of virtual reality, building and testing virtual worlds remains to be a very difficult process. Most virtual environments are stil...
Jinseok Seo, Gerard Jounghyun Kim