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SIAMNUM
2010
105views more  SIAMNUM 2010»
13 years 4 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
ISCAS
1999
IEEE
93views Hardware» more  ISCAS 1999»
14 years 2 months ago
Probability distribution of the switching intervals in chaotic pulse streams-a comparative study
In switched dynamic system the continuous phase ow is accompanied by a stream of switching events. If the system exhibits chaotic behavior this event stream can be used for gener...
T. Tsubone, T. Saito, Wolfgang M. Schwarz
DEXA
2010
Springer
182views Database» more  DEXA 2010»
13 years 10 months ago
Minimum Spanning Tree on Spatio-Temporal Networks
Given a spatio-temporal network (ST network) whose edge properties vary with time, a time-sub-interval minimum spanning tree (TSMST) is a collection of distinct minimum spanning t...
Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacha...
AAAI
2006
13 years 11 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 10 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic