Sökning: "feature selection"

Visar resultat 1 - 5 av 125 uppsatser innehållade orden feature selection.

  1. 1. Deinterleaving pulse trains with DBSCAN and FART

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Shad Mahmod; [2019]
    Nyckelord :DBSCAN; FART; Fuzzy; Adaptive; Resonance; Theory; Radar; Clustering; Deinterleaving; Machine Learning;

    Sammanfattning : Studying radar pulses and looking for certain patterns is critical in order to assess the threat level of the environment around an antenna. In order to study the electromagnetic pulses emitted from a certain radar, one must first register and identify these pulses. LÄS MER

  2. 2. Learning behaviour trees for simulated fighter pilots in airborne reconnaissance missions : A grammatical evolution approach

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Pernilla Eilert; [2019]
    Nyckelord :;

    Sammanfattning : Fighter pilots often find themselves in situations where they need to make quick decisions. Therefore an intelligent decision support system that suggests how the fighter pilot should act in a specific situation is vital. LÄS MER

  3. 3. Identification of personalized multi-omic disease modules in asthma

    Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :David Martínez Enguita; [2018]
    Nyckelord :modules; asthma; personalized; systems biology; molecular biology; transcriptomics; genomics; networks; disease; biomarker; microarray; individualized; endotype; phenotype;

    Sammanfattning : Asthma is a respiratory syndrome associated with airflow limitation, bronchial hyperresponsiveness and inflammation of the airways in the lungs. Despite the ongoing research efforts, the outstanding heterogeneity displayed by the multiple forms in which this condition presents often hampers the attempts to determine and classify the phenotypic and endotypic biological structures at play, even when considering a limited assembly of asthmatic subjects. LÄS MER

  4. 4. A Benchmark of Prevalent Feature Selection Algorithms on a Diverse Set of Classification Problems

    Master-uppsats, KTH/Medicinteknik och hälsosystem; KTH/Medicinteknik och hälsosystem

    Författare :Kniberg Anette; David Nokto; [2018]
    Nyckelord :feature selection; variable selection; attribute selection; machine learning; data mining; benchmark; classification; variabelselektion; maskininlärning; datautvinning; klassificering;

    Sammanfattning : Feature selection is the process of automatically selecting important features from data. It is an essential part of machine learning, artificial intelligence, data mining, and modelling in general. There are many feature selection algorithms available and the appropriate choice can be difficult. LÄS MER

  5. 5. Recurrent neural networks for financial asset forecasting

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gustaf Tegnér; [2018]
    Nyckelord :;

    Sammanfattning : The application of neural networks in finance has found renewed interest in the past few years. Neural networks have a proven capability of modeling non-linear relationships and have been proven widely successful in domains such as image and speech recognition. LÄS MER