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UAI
1996
13 years 10 months ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
PRL
1998
132views more  PRL 1998»
13 years 8 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
BMCBI
2010
106views more  BMCBI 2010»
13 years 9 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
DIS
2009
Springer
14 years 3 months ago
Mining Heterogeneous Information Networks by Exploring the Power of Links
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneou...
Jiawei Han
DEXAW
2007
IEEE
142views Database» more  DEXAW 2007»
13 years 10 months ago
Synopsis Data Structures for XML Databases: Models, Issues, and Research Perspectives
Due to the lack of efficient native XML database management systems, XML data manipulation and query evaluation may be resource-consuming, and represent a bottleneck for several ...
Angela Bonifati, Alfredo Cuzzocrea