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» A Data Model for Effectively Computable Functions
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ICML
2007
IEEE
16 years 7 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
147
Voted
ICPR
2002
IEEE
16 years 7 months ago
Fractional Component Analysis (FCA) for Mixed Signals
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
Asanobu Kitamoto
173
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
BMCBI
2006
103views more  BMCBI 2006»
15 years 6 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
JOCN
2010
126views more  JOCN 2010»
15 years 5 months ago
Evidence for Early Morphological Decomposition in Visual Word Recognition
■ We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affi...
Olla Solomyak, Alec Marantz