Sökning: "supervised classification"

Visar resultat 1 - 5 av 33 avhandlingar innehållade orden supervised classification.

  1. 1. Classification models for high-dimensional data with sparsity patterns

    Författare :Annika Tillander; Tatjana Pavlenko; Daniel Thorburn; Patrik Ryden; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; High-dimensionality; supervised classification; classification accuracy; sparse; block-diagonal covariance structure; graphical Lasso; separation strength; discretization; statistik; Statistics;

    Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER

  2. 2. Classification and Computational Methods in Gene Expression Data Analysis

    Författare :Cecilia Ritz; Beräkningsbiologi och biologisk fysik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Bioinformatik; medicinsk informatik; Bioinformatics; medical informatics; biomathematics biometrics; missing values; leukemia; cDNA microarray data; supervised classification; breast cancer; prognostic markers; biomatematik;

    Sammanfattning : The technology of cDNA microarrays has given us the possibility to monitor the state of cells by measuring the activity of thousands of genes simultaneously. This high-throughput techniqe has in cancer research allowed exploratory studies of molecular mechanisms behind for example metastasis and response to therapy. LÄS MER

  3. 3. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers

    Författare :Niklas Lavesson; Sweden Blekinge Institute of Technology School of Engineering Department of Systems and Software Engineering; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; machine learning; evaluation; classification;

    Sammanfattning : The fundamental question studied in this thesis is how to evaluate and analyse supervised learning algorithms and classifiers. As a first step, we analyse current evaluation methods. Each method is described and categorised according to a number of properties. LÄS MER

  4. 4. The EEG of the Neonatal Brain – Classification of Background Activity

    Författare :Johan Löfhede; Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; MEDICIN OCH HÄLSOVETENSKAP; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; MEDICAL AND HEALTH SCIENCES; hypoxia; newborn; segmentation; asphyxia; cerebral; classification; neonatal; EEG;

    Sammanfattning : The brain requires a continuous supply of oxygen and nutrients, and even a short period of reduced oxygen supply can cause severe and lifelong consequences for the affected individual. The unborn baby is fairly robust, but there are of course limits also for these individuals. The most sensitive and most important organ is the brain. LÄS MER

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

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