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ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 4 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
AGI
2008
13 years 6 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
CVPR
2009
IEEE
15 years 5 days ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 5 months ago
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
CORR
2010
Springer
126views Education» more  CORR 2010»
13 years 5 months ago
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...