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» Probabilistic-Logic Models: Reasoning and Learning with Rela...
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DLOG
2011
14 years 3 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 6 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
15 years 1 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...
77
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JUCS
2002
84views more  JUCS 2002»
14 years 11 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 5 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