Search for dissertations about: "Högskolan i Skövde."

Showing result 1 - 5 of 139 swedish dissertations containing the words Högskolan i Skövde..

  1. 1. Utilizing Diversity and Performance Measures for Ensemble Creation

    University dissertation from Örebro universitet

    Author : Tuve Löfström; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Borås.; [2009]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap; Technology; Teknik; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; ensemble learning; machine learning; diversity; artificial neural networks; information fusion; data mining;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE

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

    University dissertation from Örebro University

    Author : Rikard König; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Borås.; [2009]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology; TEKNIKVETENSKAP Informationsteknik; Technology; Teknik; 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;

    Abstract : 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. READ MORE

  3. 3. Towards a definition of the role of enterprise modeling in the context of business and IT alignment

    University dissertation from Skövde : University of Skövde

    Author : Julia Kaidalova; Högskolan i Jönköping.; Högskolan i Skövde.; Högskolan i Skövde.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; enterprise modeling; business and IT alignment; enterprise architecture;

    Abstract : In order to solve a problem of Business and IT Alignment (BITA) it is important to consider various dimensions of it: strategic, structural, social and cultural. In the context of dealing with BITA, Enterprise Modeling (EM) is an acknowledged and widely used practice. READ MORE

  4. 4. Enabling Tool Support for Formal Analysis of ECA RUles

    University dissertation from Linköpings universitet

    Author : AnnMarie Ericsson; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Skövde.; Linköpings universitet.; Linköpings universitet.; [2009]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TECHNOLOGY; TEKNIKVETENSKAP; Technology; Teknik; ECA rules; Timed automata; Formal verification; Formal veri¯cation;

    Abstract : Avhandlingen presenterar en ny ansats för att formellt verifiera regel-baserade system. En verktygsprototyp, REX, är utvecklad inom ramen för detta projekt i syfte att stödja ansatsen genom realisering av de teoretiska resultaten. READ MORE

  5. 5. Handling Combinatorial Explosion in Software Testing

    University dissertation from Linköping University, Department of Computer and Information Science

    Author : Mats Grindal; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Skövde.; Linköpings universitet.; Linköpings universitet.; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology Computer science Software engineering; TEKNIKVETENSKAP Informationsteknik Datavetenskap Programvaruteknik; Technology; Teknik; Input parameter models; software development; software testing; test process; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap;

    Abstract : In this thesis, the overall conclusion is that combination strategies, (i.e., test case selection methods that manage the combinatorial explosion of possible things to test), can improve the software testing in most organizations. The research underlying this thesis emphasizes relevance by working in close relationship with industry. READ MORE