Essays about: "Klassificiering"

Found 4 essays containing the word Klassificiering.

  1. 1. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Atheer Salim; Milad Farahani; [2023]
    Keywords : Random Forest; k-Nearest Neighbour; Evaluation; Machine Learning; Classification; Execution Time; Slumpmässig Skog; k-Närmaste Granne; Utvärdering; Maskininlärning; Klassificiering; Exekveringstid;

    Abstract : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. READ MORE

  3. 2. Binary classification of HRV signals

    University essay from Lunds universitet/Matematisk statistik

    Author : Rebecca Lütz; [2019]
    Keywords : Mathematics and Statistics;

    Abstract : Heart rate variability, commonly abbreviated as HRV, displays the variance between consecutive heartbeats. This variance occurs naturally but can change due to stress and problems with the cardiac system. HRV is therefore widely used for medical research. READ MORE

  4. 3. The Viability of Cluster Based Representations for Classification of Over the Counter Derivative Populations

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Marcus Nordberg; [2017]
    Keywords : representation learning; clustering; otc derivatives; classification;

    Abstract : A population of financial derivatives can be compressed if a subset of derivatives yield a net cash flow that lies within a given tolerance level between the parties involved. To conduct a correct population compression, it is essential that all derivatives of the involved parties are present in the derivative set. READ MORE

  5. 4. Radar target classification using Support Vector Machines and Mel Frequency Cepstral Coefficients

    University essay from KTH/Optimeringslära och systemteori

    Author : Sebastian Edman; [2017]
    Keywords : ;

    Abstract : In radar applications, there are often times when one does not only want to know that there is a target that reflecting the out sent signals but also what kind of target that reflecting these signals. This project investigates the possibilities to from raw radar data transform reflected signals and take use of human perception, in particular our hearing, and by a machine learning approach where patterns and characteristics in data are used to answer the earlier mentioned question. READ MORE