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» Selecting maximally informative genes
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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
EPIA
2003
Springer
14 years 25 days ago
Automatic Selection of Table Areas in Documents for Information Extraction
: information contained in companies’ financial statements is valuable for decision making at various levels. Much of the relevant information in such documents is contained in t...
Ana Costa e Silva, Alípio Jorge, Luí...
IPMI
2009
Springer
14 years 8 months ago
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
Matthew Toews, William M. Wells III
ICMCS
2000
IEEE
68views Multimedia» more  ICMCS 2000»
14 years 6 hour ago
Selective Signal Cancellation for Multiple-Listener Audio Applications: An Information Theory Approach
Selectively canceling signals at specific locations within an acoustical environment with multiple listeners is of significant importance for home theater, teleconferencing, of...
Sunil Bharitkar, Chris Kyriakakis
BIOCOMP
2008
13 years 9 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...