Search for dissertations about: "Feature selection"

Showing result 1 - 5 of 109 swedish dissertations containing the words Feature selection.

  1. 1. Statistical Feature Selection : With Applications in Life Science

    Author : Roland Nilsson; Jesper Tegnér; Johan Björkegren; Sepp Hochreiter; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; Bioinformatics; Bioinformatik;

    Abstract : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. READ MORE

  2. 2. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments

    Author : Torbjörn E. M. Nordling; Elling W Jacobsen; Rolf Findeisen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; network inference; reverse engineering; variable selection; model selection; feature selection; subset selection; system identification; system theory; network theory; subnetworks; design of experiments; perturbation experiments; gene regulatory networks; biological networks;

    Abstract : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. READ MORE

  3. 3. Feature Informativeness, Curse-of-Dimensionality and Error Probability in Discriminant Analysis

    Author : Tatjana Pavlenko; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Statistics; Matematik; Mathematics; feature selection; Discriminant analysis; feature informativeness; growing dimension assymptotics; operations research; operationsanalys; programmering; aktuariematematik; programming; actuarial mathematics; Statistik; Multivariate analysis; MATHEMATICS;

    Abstract : This thesis is based on four papers on high-dimensional discriminant analysis. Throughout, the curse-of-dimensionality effect on the precision of the discrimination performance is emphasized. A growing dimension asymptotic approach is used for assessing this effect and the limiting error probability are taken as the performance criteria. READ MORE

  4. 4. Perceptually motivated speech recognition and mispronunciation detection

    Author : Christos Koniaris; Olov Engwall; Martin Cooke; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; 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;

    Abstract : 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. READ MORE

  5. 5. Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution

    Author : Mike Gerdes; Diego Galar; Uday Kumar; Dieter Scholz; Piotr Bilski; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Condition Monitoring; Remaining Useful Life Prediction; Decision Tree; Genetic Algorithm; Fuzzy Decision Tree Evaluation; System Monitoring; Aircraft Health Monitoring; Feature Extraction; Feature Selection; Data Driven; Health Prognostic; Knowledge Based System; Supervised Learning; Data-Driven Predictive Health Monitoring; Health Indicators; Machine Learning; Big Data; Pattern Recognition; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. READ MORE