Essays about: "variable selection methods"

Showing result 21 - 25 of 55 essays containing the words variable selection methods.

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

    University essay from 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

  3. 22. The Left-Right Scale : An analysis of its connection to preferences on economic issues

    University essay from Linköpings universitet/Statsvetenskap

    Author : Anton Karlsson; [2020]
    Keywords : Party Linkage Model; Left-Right Scale; GAL-TAN; Ideology-Voting; Voting-Behavior; Political Parties; Japan; Sweden; Netherlands; France;

    Abstract : This thesis deals with the nature of the Left-Right scale. Theories and ideas about the Left-Right scale have been tested by a mixture of quantitative and qualitative methods. READ MORE

  4. 23. Variable Selection for Estimating Optimal Sequential Treatment Decisions Using Bayesian Networks

    University essay from Lunds universitet/Statistiska institutionen

    Author : Joel Persson; [2020]
    Keywords : decision theory; causal inference; variable selection; graphical models; causal discovery; dynamic treatment regimes; dynamic programming; reinforcement learning; observational study; Mathematics and Statistics;

    Abstract : We propose a variable selection method for estimating decision rules of optimal sequential treatment assignments when the decision-relevant variables are unknown. Standard variable selection methods are insufficient in this setting since they choose covariates that are predictive of the outcome, not those that interact with the treatment on the outcome and are therefore relevant for decision-making. READ MORE

  5. 24. Assessment of Parkes Error Grid through Machine learning techniques.

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : B V S Preethika Potluri; Dharani Nimmagadda; [2020]
    Keywords : machine learning; parkes error grid; weka.;

    Abstract : Background: A method for non-invasive, instantaneous, and cost-effective estimation of glucose level for diabetic patients, from their voice, is being developed to alleviate the issues in the estimation of blood glucose level. [1] It takes speech as an input and it evaluates another variable of interest and various error metrics can be used to evaluate the biomarker (accuracy, regression coefficient, unweighted average recall and other specific ones). READ MORE

  6. 25. Evaluation of water stress mapping methods in vineyards using airborne thermal imaging

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Alon Zuta; [2020]
    Keywords : Geography; Geographical information systems; GIS; Remote sensing; Cover crop; Thermal imaging; Spatial variability; vineyards; interpolation; water stress index; CWSI; Ig; stem water potential; UAV; Rheingau; Interpolation.; Agriculture and Food Sciences; Biology and Life Sciences; Technology and Engineering; Earth and Environmental Sciences;

    Abstract : With low cost and high efficiency, use of airborne infrared thermography imaging from an unmanned aerial vehicle (UAV) has become a widely used technique to measure plant water stress. With that, the use of UAV mounted thermal camera as a precision agriculture technique to map crop water stress is not trivial and its success is depended on variety of factors which are still needed to be studied and understood. READ MORE