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AIPS
2008
15 years 6 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
JCNS
2008
78views more  JCNS 2008»
15 years 2 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
188
Voted
AAAI
2011
14 years 3 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
111
Voted
VLSID
2006
IEEE
86views VLSI» more  VLSID 2006»
16 years 4 months ago
Partial Product Reduction Based on Look-Up Tables
In this paper a new technique for partial product reduction based on the use of look-up tables for efficient processing is presented. We describe how to construct counter devices ...
F. Pujol López, Higinio Mora Mora, Jer&oacu...
CDC
2008
IEEE
15 years 10 months ago
A Partial order approach to decentralized control
— In this paper we employ the theory of partially ordered sets to model and analyze a class of decentralized control problems. We show that posets provide a natural way of modeli...
Parikshit Shah, Pablo A. Parrilo