Sökning: "Information extraction"

Visar resultat 1 - 5 av 344 avhandlingar innehållade orden Information extraction.

  1. 1. 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

  2. 2. Intelligent semi-structured information extraction : a user-driven approach to information extraction

    Författare :Anders Arpteg; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Artificiell intelligens; Informaitonsåtervinning; Artificial intelligence; Computer science; Datavetenskap;

    Sammanfattning : The number of domains and tasks where information extraction tools can be used needs to be increased. One way to reach this goal is to design user-driven information extraction systems where non-expert users are able to adapt them to new domains and tasks. LÄS MER

  3. 3. Adaptive Semi-structured Information Extraction

    Författare :Anders Arpteg; Erik Sandewall; Wlodek Kulesza; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information extraction; Artificial intelligence; Semi-structured data; Reinforced learning; Knowledge management; Computer science; Datavetenskap;

    Sammanfattning : The number of domains and tasks where information extraction tools can be used needs to be increased. One way to reach this goal is to construct user-driven information extraction systems where novice users are able to adapt them to new domains and tasks. LÄS MER

  4. 4. Perceptually motivated speech recognition and mispronunciation detection

    Författare :Christos Koniaris; Olov Engwall; Martin Cooke; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; feature extraction; feature selection; auditory models; MFCCs; speech recognition; distortion measures; perturbation analysis; psychoacoustics; human perception; sensitivity matrix; pronunciation error detection; phoneme; second language; perceptual assessment;

    Sammanfattning : This doctoral thesis is the result of a research effort performed in two fields of speech technology, i.e., speech recognition and mispronunciation detection. Although the two areas are clearly distinguishable, the proposed approaches share a common hypothesis based on psychoacoustic processing of speech signals. LÄS MER

  5. 5. Algorithms for aggregate information extraction from sequences

    Författare :Fredrik Bengtsson; Luleå tekniska universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Dependable Communication and Computation Systems; Kommunikations- och beräkningssystem;

    Sammanfattning : In this thesis, we propose efficient algorithms for aggregate information extraction from sequences and multidimensional arrays. The algorithms proposed are applicable in several important areas, including large databases and DNA sequence segmentation. LÄS MER