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» On the Hamkins approximation property
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ICA
2012
Springer
12 years 5 months ago
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Sylvain Le Corff, Gersende Fort, Eric Moulines
EUSFLAT
2009
120views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
On M-Approximative Operators and M-Approximative Systems
Abstract-- The concept of an M-approximative system is introduced. Basic properties of the category of M-approximative systems and in a natural way defined morphisms between them a...
Alexander P. Sostak
AAAI
2011
12 years 9 months ago
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
George Konidaris, Sarah Osentoski, Philip Thomas
AMC
2011
13 years 4 months ago
Approximate inverse-free preconditioners for Toeplitz matrices
In this paper, we propose approximate inverse-free preconditioners for solving Toeplitz systems. The preconditioners are constructed based on the famous Gohberg-Sememcul formula. ...
You-Wei Wen, Wai-Ki Ching, Michael Ng
PODS
2012
ACM
240views Database» more  PODS 2012»
12 years 7 days ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney