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» Using Bayesian networks to analyze expression data
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BMCBI
2005
179views more  BMCBI 2005»
15 years 3 months ago
MARS: Microarray analysis, retrieval, and storage system
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...
Michael Maurer, Robert Molidor, Alexander Sturn, J...
162
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JMLR
2008
148views more  JMLR 2008»
15 years 3 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
157
Voted
JMLR
2010
192views more  JMLR 2010»
14 years 10 months ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater
138
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TIP
2010
141views more  TIP 2010»
14 years 10 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
AINA
2006
IEEE
15 years 9 months ago
Effect of Redundancy on Mean Time to Failure of Wireless Sensor Networks
In query-based wireless sensor networks (WSNs), the system must perform data sensing and retrieval and possibly aggregate data as a response at runtime. Since a WSN is often deplo...
Anh Phan Speer, Ing-Ray Chen