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» Probabilistic Assumption-Based Reasoning
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ILP
2007
Springer
15 years 6 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen
AAAI
1994
15 years 1 months ago
Forming Beliefs about a Changing World
The situation calculus is a popular technique for reasoning about action and change. However, its restriction to a firstorder syntax and pure deductive reasoning makes it unsuitab...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
FLAIRS
2008
15 years 2 months ago
A First-Order Bayesian Tool for Probabilistic Ontologies
One of the major weaknesses of current research on the Semantic Web (SW) is the lack of proper means to represent and reason with uncertainty. A number of recent efforts from the ...
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N...
KR
2004
Springer
15 years 5 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
BMVC
2002
15 years 2 months ago
Spatial and Probabilistic Modelling of Pedestrian Behaviour
This paper investigates the combination of spatial and probabilistic models for reasoning about pedestrian behaviour in visual surveillance systems. Models are learnt by a multi-s...
Dimitrios Makris, Tim Ellis