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» Maximum likelihood analysis of algorithms and data structure...
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UAI
1998
15 years 5 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
145
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TWC
2008
137views more  TWC 2008»
15 years 3 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
129
Voted
JCNS
2010
103views more  JCNS 2010»
14 years 10 months 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
159
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PRL
2011
14 years 6 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...
108
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SIAMMAX
2010
105views more  SIAMMAX 2010»
14 years 10 months 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