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» Inference and Learning in Planning
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OOPSLA
2009
Springer
16 years 1 months ago
Towards automation of iteration planning
Iterations are time-boxed periods with an intended outcome that is often a set of implemented requirements. Iterations are part of most common software development lifecycle model...
Jonas Helming, Maximilian Koegel, Zardosht Hodaie
CVPR
2005
IEEE
16 years 8 months ago
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
Ahmed M. Elgammal
NIPS
2007
15 years 8 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
IJCAI
2003
15 years 8 months ago
A Bayesian Approach to Imitation in Reinforcement Learning
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Bob Price, Craig Boutilier
NIPS
2000
15 years 8 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths