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» Structural Inference for Semistructured Data
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SPEECH
1998
118views more  SPEECH 1998»
15 years 2 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
BMCBI
2006
239views more  BMCBI 2006»
15 years 3 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
IPPS
2010
IEEE
15 years 1 months ago
Static macro data flow: Compiling global control into local control
Abstract--The expression of parallel codes through abstract, high-level specifications of global control and data flow can greatly simplify the task of creating large parallel prog...
Pritish Jetley, Laxmikant V. Kalé
ICDE
2006
IEEE
428views Database» more  ICDE 2006»
16 years 4 months ago
Integrating Unstructured Data into Relational Databases
In this paper we present a system for automatically integrating unstructured text into a multi-relational database using state-of-the-art statistical models for structure extracti...
Imran R. Mansuri, Sunita Sarawagi
ACIVS
2005
Springer
15 years 8 months ago
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
Jan Sijbers, Arnold Jan den Dekker, Robert Bos