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» An algorithmic approach to knowledge evolution
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IJCAI
2007
15 years 8 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
IJCAI
2007
15 years 8 months ago
Towards Reasoning about the Past in Neural-symbolic Systems
Reasoning about the past is of fundamental importance in several applications in computer science and artificial intelligence, including reactive systems and planning. In this pa...
Rafael V. Borges, Luís C. Lamb, Artur S. d'...
STAIRS
2008
112views Education» more  STAIRS 2008»
15 years 8 months ago
Unsupervised Web-based Automatic Annotation
The success of the Semantic Web depends both on the definition of ontologies used to represent the knowledge as on the annotations performed of the web contents. As manual approach...
Miquel Millan, David Sánchez, Antonio Moren...
AAAI
2006
15 years 8 months ago
Forgetting and Conflict Resolving in Disjunctive Logic Programming
We establish a declarative theory of forgetting for disjunctive logic programs. The suitability of this theory is justified by a number of desirable properties. In particular, one...
Thomas Eiter, Kewen Wang
ICIP
2009
IEEE
16 years 7 months ago
Solidity Based Local Threshold For Oil Sand Image Segmentation
A novel local threshold algorithm for images with poor illumination and complex texture surface is presented in this paper. This algorithm improves segmentation quality by selecti...