Essays about: "PC Regression"

Found 5 essays containing the words PC Regression.

  1. 1. CONSTRUCTION EQUIPMENT FUEL CONSUMPTION DURING IDLING : Characterization using multivariate data analysis at Volvo CE

    University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

    Author : Mujtaba Hassani; [2020]
    Keywords : Idling condition; environmental effect; diesel fuel; machine learning; multivariate data analysis; partial least square regression; support vector machine regression; principal component analysis; principal component regression; correlation coefficient matrix; artificial neural network; exhaust emission reduction techniques; global warming; emission regulation; CO2 estimation techniques; Gaussian process regression;

    Abstract : Human activities have increased the concentration of CO2 into the atmosphere, thus it has caused global warming. Construction equipment are semi-stationary machines and spend at least 30% of its life time during idling. The majority of the construction equipment is diesel powered and emits toxic emission into the environment. READ MORE

  3. 2. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning

    University essay from KTH/Optimeringslära och systemteori

    Author : Valgerdur Tryggvadottir; [2019]
    Keywords : Customer churn prediction; whales; data analysis; machine learning; binary classification.; Kund churn prediktering; valar; dataanalys; maskinlärning; binär klas-sificering.;

    Abstract : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. READ MORE

  4. 3. PC Regression, Vector Autoregression, and Recurrent Neural Networks: How do they compare when predicting stock index returns for building efficient portfolios?

    University essay from KTH/Optimeringslära och systemteori

    Author : David Hallberg; Erik Renström; [2019]
    Keywords : PC Regression; Vektorautoregression; och Återkopplande Neurala Nätverk: En jämförelse mellan deras förmåga att prognostisera aktieindexavkastning för att konstruera effektiva portföljer; Huvudkomponentregression; vektorautoregression; LSTM; återkopplande neurala nätverk; portföljteori; portföljoptimering; maskininlärning; makroekonomi; finans; aktieavkastning; aktieindex;

    Abstract : This thesis examines the statistical and economic performance of modeling and predicting equity index returns by application of various statistical models on a set of macroeconomic and financial variables. By combining linear principal component regression, vector autoregressive models, and LSTM neural networks, the authors find that while a majority of the models display high statistical significance, virtually none of them successfully outperform classic portfolio theory on efficient markets in terms of risk-adjusted returns. READ MORE

  5. 4. An Approach on Learning Multivariate Regression Chain Graphs from Data

    University essay from Databas och informationsteknik; Tekniska högskolan

    Author : Babak Moghadasin; [2013]
    Keywords : Probabilistic graphical models; Bayesian networks; BN; Chain Graphs; CG; Multivariate regression chain graphs; MVR CG; learning graphs;

    Abstract : The necessity of modeling is vital for the purpose of reasoning and diagnosing in complex systems, since the human mind might sometimes have a limited capacity and an inability to be objective. The chain graph (CG) class is a powerful and robust tool for modeling real-world applications. READ MORE

  6. 5. Mobile Search : An empirical investigation of the next big thing

    University essay from Ekonomihögskolan, ELNU

    Author : Louise Bäcke; Ellinor Hansen; Linnea Johansson; [2012]
    Keywords : Marketing strategy; Mobile marketing; Mobile search; Search Engine Marketing SEM ; Search Engine Optimizing SEO ; Innovation diffusion theory IDT ;

    Abstract : The remarkable spread of the Internet has generated new opportunities for companies to promote themselves and communicate with their customers. The most used Internet service of finding information today is search engines (e.g. Google, Bing, Yahoo) were almost three million searches are preformed every minute worldwide. READ MORE