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Visar resultat 1 - 5 av 16 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Obtaining Accurate and Comprehensible Data Mining Models An Evolutionary Approach

    Detta är en avhandling från Institutionen för datavetenskap

    Författare :Ulf Johansson; Linköpings universitet.; Linköpings universitet.; Högskolan i Borås.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology Computer science Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap Datalogi; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; 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

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

    Detta är en avhandling från Örebro University

    Författare :Rikard König; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Borås.; [2009]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology; TEKNIKVETENSKAP Informationsteknik; Teknik; Technology; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; 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

  3. 3. Computational Prediction Models for Proteolytic Cleavage and Epitope Identification

    Detta är en avhandling från Department of Theoretical Physics, Lund University

    Författare :Liwen You; Högskolan i Halmstad.; Lunds universitet.; Lund University.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Bioengineering Bioinformatics; TEKNIKVETENSKAP Bioteknik Bioinformatik; Binding affinity; Caspase; Cleavage predition; Cleavage specifictiy; Epitope; False positive; Gaussian process; HCV; Hierarchial method; HIV; Immunology; MHC; OSRE; Protease-peptide interaction; Rule extraction; Sequence analysis; SVM; medical informatics; biomathematics biometrics; sequence analysis; rule extraction; protease-peptide interaction; immunology; hierarchical method; false positive; epitope; cleavage specificity; cleavage prediction; binding affinity; caspase; medicinsk informatik; biomatematik; Computer science; numerical analysis; systems; control; Datalogi; numerisk analys; system; kontroll;

    Sammanfattning : The biological functions of proteins depend on their physical interactions with other molecules, such as proteins and peptides. Therefore, modeling the protein-ligand interactions is important for understanding protein functions in different biological processes. LÄS MER

  4. 4. Enhancing genetic programming for predictive modeling

    Detta är en avhandling från Örebro : Örebro universitet

    Författare :Rikard König; Örebro universitet.; Högskolan i Borås.; [2014]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Datavetenskap; Computer Science; genetic programming; predictive modelsing; data mining; machine learning; rule extraction; regression; ensembles; comprehensibility; Genetic programming; Predictive Modeling; Data Mining; Machine Learning; Rule extraction; Classification; Regression; Ensembles; Comprehensibility;

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

  5. 5. Computational Terminology Exploring Bilingual and Monolingual Term Extraction

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Jody Foo; Linköpings universitet.; Linköpings universitet.; [2012]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; terminology; automatic term extraction; automatic term recognition; computational terminology; terminology management;

    Sammanfattning : Terminologies are becoming more important to modern day society as technology and science continue to grow at an accelerating rate in a globalized environment. Agreeing upon which terms should be used to represent which concepts and how those terms should be translated into different languages is important if we wish to be able to communicate with as little confusion and misunderstandings as possible. LÄS MER