Sökning: "feature selection"

Visar resultat 1 - 5 av 85 avhandlingar innehållade orden feature selection.

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

    Detta är en avhandling från Institutionen för fysik, kemi och biologi

    Författare :Roland Nilsson; Linköpings universitet.; Linköpings universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; NATURAL SCIENCES Chemistry Theoretical chemistry Bioinformatics; NATURVETENSKAP Kemi Teoretisk kemi Bioinformatik;

    Sammanfattning : 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. LÄS MER

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

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Torbjörn E. M. Nordling; KTH.; [2013]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

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

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Tatjana Pavlenko; Mittuniversitetet.; Lunds universitet.; Lund University.; [2001]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MATHEMATICS; MATEMATIK; Multivariate analysis; Statistics; feature selection; Discriminant analysis; feature informativeness; growing dimension assymptotics; operations research; operationsanalys; programmering; aktuariematematik; programming; actuarial mathematics; Statistik;

    Sammanfattning : 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. LÄS MER

  4. 4. Perceptually motivated speech recognition and mispronunciation detection

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Christos Koniaris; KTH.; [2012]
    Nyckelord :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;

    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. Improving Image Classification Performance using Joint Feature Selection

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Heydar Maboudi Afkham; KTH.; [2014]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image Classification; Latent Variable Models; Computer Science; Datalogi;

    Sammanfattning : In this thesis, we focus on the problem of image classification and investigate how its performance can be systematically improved. Improving the performance of different computer vision methods has been the subject of many studies. LÄS MER