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AAAI
2010
13 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
JAR
2007
129views more  JAR 2007»
13 years 7 months ago
A Tableau Algorithm for Description Logics with Concrete Domains and General TBoxes
To use description logics (DLs) in an application, it is crucial to identify a DL that is sufficiently expressive to represent the relevant notions of the application domain, but f...
Carsten Lutz, Maja Milicic
PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
13 years 5 months ago
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasa...
FSS
2010
102views more  FSS 2010»
13 years 4 months ago
Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic
In this paper we investigate the relationship between two prioritized knowledge bases by measuring both the conflict and the agreement between them. First of all, a quantity of co...
Guilin Qi, Weiru Liu, David A. Bell
WCNC
2008
IEEE
14 years 1 months ago
Intelligent Weather Systems with Fuzzy Logic Controller for Satellite Networks
— Weather attenuations can have a distorting effect on signal fidelity above 10 GHz that lead to excessive digital transmission error. This loss of signal is commonly referred to...
Kamal Harb, Changcheng Huang, Anand Srinivasan, Br...