Sökning: "Genetic Programming"

Visar resultat 1 - 5 av 49 avhandlingar innehållade orden Genetic Programming.

  1. 1. Enhancing genetic programming for predictive modeling

    Författare :Rikard König; Niklas Lavesson; Örebro universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; genetic programming; predictive modelsing; data mining; machine learning; rule extraction; regression; ensembles; comprehensibility; Datavetenskap; Computer Science; Genetic programming; Predictive Modeling; Data Mining; Machine Learning; Rule extraction; Classification; Regression; Ensembles; Comprehensibility; Datavetenskap;

    Sammanfattning : See separate file, "Abstract.png"... LÄS MER

  2. 2. Dynamics and Performance of a Linear Genetic Programming System

    Författare :Frank D. Francone; Chalmers University of Technology; []
    Nyckelord :Mutation; Genetic Programming; Homologous Crossover.; Crossover; Introns; Linear Genetic Programming; Code Bloat;

    Sammanfattning : Genetic Programming (“GP”) is a machine learning algorithm. Typically, Genetic Programming is a supervised learning algorithm, which trains on labeled training examplesprovided by the user. The solution output by GP maps known attributes to the known labels. LÄS MER

  3. 3. Using genetic programming to systematically force software diversity

    Författare :Robert Feldt; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; software reliability; forced design diversity; N-version programming; software diversity; software fault tolerance; genetic programming;

    Sammanfattning : .... LÄS MER

  4. 4. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

    Författare :Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi; rule extraction; ensembles; data mining; genetic programming; artificial neural networks;

    Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER

  5. 5. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

    Författare :Rikard König; Högskolan i Skövde; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; Information technology; Informationsteknik; Teknik; Technology; rule extraction; genetic programming; uncertainty estimation; machine learning; artificial neural networks; information fusion; Computer Science; data mining;

    Sammanfattning : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. LÄS MER