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AAAI
2011
13 years 9 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
15 years 11 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 4 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
MOBIDE
2006
ACM
15 years 3 months ago
Evaluation of probabilistic queries in moving objects databases
The representation of moving objects in spatial database systems has become an important research topic in recent years. As it is not realistic to track and store the location of ...
Talel Abdessalem, Laurent Decreusefond, José...
ICPR
2010
IEEE
14 years 8 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi