Search for dissertations about: "ensembles"

Showing result 1 - 5 of 56 swedish dissertations containing the word ensembles.

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

    University dissertation from Institutionen för datavetenskap

    Author : Ulf Johansson; Linköpings universitet.; Linköpings universitet.; Högskolan i Borås.; [2007]
    Keywords : 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;

    Abstract : 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. READ MORE

  2. 2. Enhancing genetic programming for predictive modeling

    University dissertation from Örebro : Örebro universitet

    Author : Rikard König; Örebro universitet.; Högskolan i Borås.; [2014]
    Keywords : 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;

    Abstract : See separate file, "Abstract.png"... READ MORE

  3. 3. On Effectively Creating Ensembles of Classifiers Studies on Creation Strategies, Diversity and Predicting with Confidence

    University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Author : Tuwe Löfström; Stockholms universitet.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Predictive Modeling; Ensembles; Conformal Prediction; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : An ensemble is a composite model, combining the predictions from several other models. Ensembles are known to be more accurate than single models. Diversity has been identified as an important factor in explaining the success of ensembles. READ MORE

  4. 4. On Effectively Creating Ensembles of Classifiers Studies on Creation Strategies, Diversity and Predicting with Confidence

    University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Author : Tuwe Löfström; Högskolan i Borås.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Predictive Modeling; Ensembles; Conformal Prediction; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : An ensemble is a composite model, combining the predictions from several other models. Ensembles are known to be more accurate than single models. Diversity has been identified as an important factor in explaining the success of ensembles. READ MORE

  5. 5. Ensembles of Semantic Spaces On Combining Models of Distributional Semantics with Applications in Healthcare

    University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Author : Aron Henriksson; Stockholms universitet.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; machine learning; distributional semantics; ensemble learning; semantic space ensembles; medical informatics; electronic health records; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. READ MORE