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» Maximum likelihood analysis of algorithms and data structure...
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UAI
1998
15 years 7 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
TWC
2008
137views more  TWC 2008»
15 years 5 months ago
Decoding, Performance Analysis, and Optimal Signal Designs for Coordinate Interleaved Orthogonal Designs
Space-time block codes (STBC) using coordinate interleaved orthogonal designs (CIOD) proposed recently by Khan and Rajan allow single-complex symbol decoding and offer higher data ...
Dung Ngoc Dao, Chintha Tellambura
JCNS
2010
103views more  JCNS 2010»
15 years 23 days ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
PRL
2011
14 years 8 months ago
Structural matching of 2D electrophoresis gels using deformed graphs
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
SIAMMAX
2010
105views more  SIAMMAX 2010»
15 years 21 days ago
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
So Yeon Chun, A. Shapiro