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» Blind equalization by sequential importance sampling
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ISCAS
2002
IEEE
83views Hardware» more  ISCAS 2002»
13 years 9 months ago
Blind equalization by sequential importance sampling
Joaquín Míguez, Petar M. Djuric
TWC
2010
12 years 11 months ago
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
Alberto Gaspar Guimarães, Boujemaa Ait-El-F...
JSS
2007
88views more  JSS 2007»
13 years 4 months ago
SQUIRE: Sequential pattern mining with quantities
Discovering sequential patterns is an important problem for many applications. Existing algorithms find qualitative sequential patterns in the sense that only items are included ...
Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok ...
AAAI
2000
13 years 6 months ago
Sampling Methods for Action Selection in Influence Diagrams
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
Luis E. Ortiz, Leslie Pack Kaelbling
BMCBI
2007
207views more  BMCBI 2007»
13 years 4 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...