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» Nonparametric Quantile Estimation
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ICML
2002
IEEE
15 years 10 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
NIPS
2008
14 years 11 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
JGS
2010
89views more  JGS 2010»
14 years 4 months ago
Spatial models with spatially lagged dependent variables and incomplete data
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
Harry H. Kelejian, Ingmar R. Prucha
ICML
2008
IEEE
15 years 10 months ago
Tailoring density estimation via reproducing kernel moment matching
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
Alex J. Smola, Arthur Gretton, Bernhard Schöl...
SCALESPACE
2007
Springer
15 years 3 months ago
A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences
Abstract. We propose a variational approach for multi-valued velocity field estimation in transparent sequences. Starting from existing local motion estimators, we show a variatio...
Alonso Ramirez-Manzanares, Mariano Rivera, Pierre ...