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    FUIN
    2008
    108views more  FUIN 2008»
    Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
    13 years 6 months ago
    Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
    Download  lirias.kuleuven.be
    Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
    Wannes Meert, Jan Struyf, Hendrik Blockeel
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    CSB
    2005
    IEEE
    189views Bioinformatics» more  CSB 2005»
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    14 years 1 months ago
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    Download  conferences.computer.org
    We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
    Xutao Deng, Huimin Geng, Hesham H. Ali
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    JAIR
    2002
    163views more  JAIR 2002»
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    13 years 7 months ago
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    Download  www.jair.org
    The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
    Xin Xu, Hangen He, Dewen Hu
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    GECCO
    2005
    Springer
    178views Optimization» more  GECCO 2005»
    A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
    14 years 1 months ago
    A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
    Download  www.cs.bham.ac.uk
    In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
    Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
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    ISNN
    2007
    Springer
    120views Neural Networks» more  ISNN 2007»
    Neural-Based Separating Method for Nonlinear Mixtures
    14 years 1 months ago
    Neural-Based Separating Method for Nonlinear Mixtures
    Download  www.cil.pku.edu.cn
    A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
    Ying Tan
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