Sökning: "Boosting"

Visar resultat 1 - 5 av 200 uppsatser innehållade ordet Boosting.

  1. 1. Bot or Human: Identifying Bot­Generated Clicks Using Machine Learning

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :FILIP BORG; AXEL BROBECK; SAGA KORTESAARI; NERMIN SKENDEROVIC; ARVID SUNDBOM; CHARLES SUNDSTRÖM; [2021-09-14]
    Nyckelord :;

    Sammanfattning : “I’m not a robot” is a common CAPTCHA (Completely Automated PublicTuring test to tell Computers and Humans Apart) often shown today uponentering websites. The purpose behind the challenge is to distinguish hu mans from robots, or bots. However, the user experience becomes somewhatintrusive and is not always viable for many websites. LÄS MER

  2. 2. Facial Emotion Recognition by Hyper-Parameter tuning of Convolutional Neural Network using Genetic Algorithm

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Satyachandra Saurabh Bellamkonda; [2021]
    Nyckelord :;

    Sammanfattning : Context: Importance of facial emotion recognition is increasing significantly as it's applications play a key role in several sectors and fields. Deep learning techniques in machine learning provide good performance in facial recognition tasks, Where as deep neural networks like convolutional neural networks are most widely used for image recognition and classification tasks. LÄS MER

  3. 3. ESTIMATING AND EVALUATING THE PROBABILITY OF DEFAULT – A MACHINE LEARNING APPROACH

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Andreas Hild; [2021]
    Nyckelord :;

    Sammanfattning : In this thesis, we analyse and evaluate classification models for panel credit risk data. Variables are selected based on results from recursive feature elimination as well as economic reasoning where the probability of default is estimated. LÄS MER

  4. 4. Flight Sorting Algorithm Based on Users’ Behaviour

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Qingyan Ben; [2021]
    Nyckelord :Ranking systems; recommendation systems; machine learning; deep learning; data balance; Rankningssystem; rekommendationssystem; maskininlärning; djupinlärning; databalans;

    Sammanfattning : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. LÄS MER

  5. 5. Interweaving AutoML and Data Science Method

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Edvard Aldor; Daniel Helle; [2021]
    Nyckelord :;

    Sammanfattning : The advent of automated machine learning (AutoML) tools promises to democratize machine learning to non-experts in the field. These tools certainly effect the process of applying machine learning for non-experts, but it is not clear how data scientists will be able to draw benefit from having access to automated machine learning systems. LÄS MER