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    GECCO
    2006
    Springer
    220views Optimization» more  GECCO 2006»
    Comparing evolutionary algorithms on the problem of network inference
    13 years 10 months ago
    Comparing evolutionary algorithms on the problem of network inference
    Download  www.ra.cs.uni-tuebingen.de
    In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
    Christian Spieth, Rene Worzischek, Felix Streicher...
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    IJACTAICIT
    2010
    153views more  IJACTAICIT 2010»
    Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
    13 years 1 months ago
    Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
    Download  www.aicit.org
    In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
    Zahra Khanmirzaei, Mohammad Teshnehlab
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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    13 years 6 months ago
    Comparison of evolutionary algorithms in gene regulatory network model inference
    Download  www.biomedcentral.com
    Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
    Alina Sîrbu, Heather J. Ruskin, Martin Crane
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    IPPS
    2007
    IEEE
    114views Distributed And Parallel Com...» more  IPPS 2007»
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    14 years 1 months ago
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    Download  www.cecs.uci.edu
    Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
    Ajay K. Katangur, Somasheker Akkaladevi
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    JMLR
    2011
    145views more  JMLR 2011»
    Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
    13 years 1 months ago
    Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
    Download  jmlr.csail.mit.edu
    We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
    Jim C. Huang, Brendan J. Frey
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