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AAAI
2000
15 years 5 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
FUIN
2008
108views more  FUIN 2008»
15 years 2 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
JVCA
2006
127views more  JVCA 2006»
15 years 3 months ago
A motion capture-based control-space approach for walking mannequins
Virtual mannequins need to navigate in order to interact with their environment. Their autonomy to accomplish the navigation task is ensured by locomotion controllers. Control inp...
Julien Pettré, Jean-Paul Laumond
JMLR
2010
186views more  JMLR 2010»
14 years 10 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
CVPR
2010
IEEE
15 years 12 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...