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» Probabilistic-Logic Models: Reasoning and Learning with Rela...
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DLOG
2011
14 years 1 months ago
Concept Model Semantics for DL Preferential Reasoning
Abstract. The preferential and rational consequence relations first studied by Lehmann and colleagues play a central role in non-monotonic reasoning, not least because they provid...
Arina Britz, Thomas Meyer, Ivan José Varzin...
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 4 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
AAAI
2010
14 years 11 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...
JUCS
2002
84views more  JUCS 2002»
14 years 9 months ago
The Design of an Object-based System for Representing and Classifying Spatial Structures and Relations
: Our work is concerned with the design of a knowledge-based system for recognizing agricultural landscape models on land-use maps. Landscape models are defined as sets of spatial ...
Florence Le Ber, Amedeo Napoli
UM
2007
Springer
15 years 3 months ago
Inducing User Affect Recognition Models for Task-Oriented Environments
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
Sunyoung Lee, Scott W. McQuiggan, James C. Lester