Essays about: "random forest classifier"

Showing result 1 - 5 of 34 essays containing the words random forest classifier.

  1. 1. Textural and Mineralogical Characterization of Li-pegmatite Deposit: Using Microanalytical and Image Analysis to Link Micro and Macro Properties of Spodumene in Drill Cores. : Keliber Lithium Project, Finland.

    University essay from Luleå tekniska universitet/Mineralteknik och metallurgi

    Author : Juan Sebastian Guiral Vega; [2018]
    Keywords : Lithium; Image Analysis; Spodumene; Pegmatite; Hyperspectral; Geometallurgy; Machine learning; Mineralogy; characterization; Mineral mapping; Texture; Scanning electron microscopy; SEM; Mineral Processing; Kaustinen; Keliber; Lithium deposit; Geometalurgia; procesamiento mineral; litio; espodumena; pegmatita; machine learning; procesamiento mineral;

    Abstract : Lithium represents one of the strategic elements for the rest of the 21st century due to its increasing demand in technological applications. Therefore, new efforts should be focused on the optimization of mineral characterization processes, which link the ore properties with its behaviour during downstream processes. READ MORE

  2. 2. User preference prediction between ads-supported and subscribed users

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

    Author : Erik Lybecker; [2018]
    Keywords : ;

    Abstract : The goal of this master’s thesis was to create a model that predicts preference towards a specific exclusive feature in a subscribed service. It investigated unsupervised and semi-supervised learning to identify customer segments that prefer an specific exclusive feature. READ MORE

  3. 3. Eye Movement Analysis for Activity Recognition in Everyday Situations

    University essay from Malmö universitet/Teknik och samhälle

    Author : Anton Gustafsson; [2018]
    Keywords : activity recognition; artificial intelligence; data annotation; eye tracking; eye movement analysis; gaze tracking; human activity recognition; intention recognition; machine learning;

    Abstract : Den ständigt ökande mängden av smarta enheter i vår vardag har lett till nya problem inom HCI så som hur vi människor ska interagera med dessa enheter på ett effektivt och enkelt sätt. Än så länge har kontextuellt medvetna system visat sig kunna vara ett möjligt sätt att lösa detta problem. READ MORE

  4. 4. Post-Pruning of Random Forests

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Jamal Diyar; [2018]
    Keywords : Random Forests; pruning; interpretability; accuracy.;

    Abstract : Abstract  Context. In machine learning, ensemble methods continue to receive increased attention. Since machine learning approaches that generate a single classifier or predictor have shown limited capabilities in some contexts, ensemble methods are used to yield better predictive performance. READ MORE

  5. 5. Machine learning and Multi-criteria decision analysis in healthcare : A comparison of machine learning algorithms for medical diagnosis

    University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Author : Victoria Hjalmarsson; [2018]
    Keywords : Analytic hierarchy process; AHP; data mining; healthcare management; MCDA;

    Abstract : Medical records consist of a lot of data. Nevertheless, in today’s digitized society it is difficult for humans to convert data into information and recognize hidden patterns. Effective decision support tools can assist medical staff to reveal important information hidden in the vast amount of data and support their medical decisions. READ MORE