Sökning: "Gain Boosting"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Gain Boosting.

  1. 1. Multimodala varningssignaler och dess påverkan på människors tillit till självkörande fordon

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Niklas Tolf; [2023]
    Nyckelord :;

    Sammanfattning : Den ökade autonomin inom olika samhällssektorer, särskilt utvecklingen av självkörande bilar har betydande konsekvenser för samhället. Självkörande bilar erbjuder fördelar såsom minskade trafikolyckor, lägre utsläpp och förbättrad trafikflödeseffektivitet. LÄS MER

  3. 2. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Angelica Smedberg; [2023]
    Nyckelord :NLP; Sentiment Analysis; Ruled-based algorithms; TextBlob; VADER; Naïve Bayes; Machine Learning;

    Sammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER

  4. 3. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

  5. 4. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  7. 5. Identifying Optimal Throw-in Strategy in Football Using Logistic Regression

    Master-uppsats, KTH/Matematisk statistik

    Författare :Stephan Nieto; [2023]
    Nyckelord :Set-piece; throw-in; football analytics; optimal strategy; logistic regression; model assumptions; feature importance; feature transformations; gradient boosting; Fasta situationer; inkast; fotbollsanalys; optimal strategi; logistisk regression; modellantaganden; variabelvikt; variabeltransformationer; gradient boosting;

    Sammanfattning : Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. LÄS MER