Essays about: "To-Be Model"

Showing result 1 - 5 of 6427 essays containing the words To-Be Model.

  1. 1. Machine Learning Based Prediction and Classification for Uplift Modeling

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Keywords : Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Abstract : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. READ MORE

  2. 2. Distributional Dynamics of Fama-French Factors in European Markets

    University essay from KTH/Matematisk statistik

    Author : Wilmer Löfgren; [2020]
    Keywords : Fama-French factors; NGARCH; Copula; Value-at-Risk; Risk model evaluation; Fama-French-faktorer; NGARCH; Copula; Value-at-Risk; Utvärdering av riskmodeller;

    Abstract : The three-factor model of Fama and French has proved to be a seminal contribution to asset pricing theory, and was recently extended to include two more factors, yielding the Fama-French five-factor model. Other proposed augmentations of the three-factor model includes the introduction of a momentum factor by Carthart. READ MORE

  3. 3. Sequence Prediction for Identifying User Equipment Patterns in Mobile Networks

    University essay from KTH/Matematisk statistik

    Author : Theoharis Charitidis; [2020]
    Keywords : Markov chain; mobile networks; user equipment; machine learning; statistics; sequence prediction; stochastic process; Maskininlärning; mobila nätverk; statistik; markovkedjor; all k order markov; stokastisk process; sekvensprediktering;

    Abstract : With an increasing demand for bandwidth and lower latency in mobile communication networks it becomes gradually more important to improve current mobile network management solutions using available network data. To improve the network management it can for instance be of interest to infer future available bandwidth to the end user of the network. READ MORE

  4. 4. THE MEDIATING ROLE OF STUDENT’S ACADEMIC SELF-BELIEFS IN STUDYING EDUCATIONAL EQUITY A comparison between Sweden and Ukraine in TIMSS 2011

    University essay from Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

    Author : Oleksandra Mittal; [2019-12-20]
    Keywords : Academic self-beliefs; Science self-concept; Interest and Utility; Socioeconomic status mediators; Structural Equation Modelling with multiple mediators; Educational Equity; Sweden; Ukraine; TIMSS 2011;

    Abstract : Aim: The aim of this study is to enrich the understanding of student-level mechanismsinvolved in shaping (in)equity in educational outcomes among eight-graders in Swedenand Ukraine by examining the role of academic self-beliefs in science, represented bymotivational constructs of self-concept, interest and utility value, as mediators of theassociation between student socioeconomic status (SES) and achievement in science.Theory: Expectancy-value theory (EVT) of achievement motivation (Eccles (Parsons) et al. READ MORE

  5. 5. An approach to automate accident scenario generation using recurrent neural networks

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Ludvig Oliver Gee; Ian Rhys Jenkins; [2019-11-26]
    Keywords : Machine Learning; Recurrent Neural Networks; Active Safety Systems; Scenario Generation; Testing; Time Series Prediction;

    Abstract : There is a need to improve the test procedure of Active Safety Systems through the automation of scenario generation, especially accident scenarios that are critical for testing. The purpose of this thesis is to provide an approach to automate the test generation process using machine learning. READ MORE