Essays about: "Maskininlärning"

Showing result 1 - 5 of 635 essays containing the word Maskininlärning.

  1. 1. Classification of a Sensor Signal Attained By Exposure to a Complex Gas Mixture

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Rabnawaz Jan Sher; [2021]
    Keywords : Classification; Random Forest; Linear Discriminant Analysis; Naive Bayes; Principal Component Analysis; Drift; Baseline Compensation; Normalization; Sensor; Signal Preprocessing.;

    Abstract : This thesis is carried out in collaboration with a private company, DANSiC AB This study is an extension of a research work started by DANSiC AB in 2019 to classify a source. This study is about classifying a source into two classes with the sensitivity of one source higher than the other as one source has greater importance. READ MORE

  2. 2. A Literature Study Concerning Generalization Error Bounds for Neural Networks via Rademacher Complexity

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Oskar Nordenfors; [2021]
    Keywords : machine; learning; neural; networks; generalization; error; rademacher; complexity; maskininlärning; neurala; nätverk; generaliseringfel; rademachers; komplexitet;

    Abstract : In this essay some fundamental results from the theory of machine learning and neural networks are presented, with the goal of finally discussing bounds on the generalization error of neural networks, via Rademacher complexity. ... READ MORE

  3. 3. Association between cognitive measures, global brain surface area, genetics, and screen-time in young adolescents : Estimation of causal inference with machine learning

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Evgenija Kravchenko; [2021]
    Keywords : Causal modelling; DirectLiNGAM; PGS; intelligence; screen time; cognitive development; Kausal modellering; DirectLiNGAM; PGS; intelligens; skärmtid; kognitiv utveckling;

    Abstract : Screen media activity such as watching TV and videos, playing video games, and using social media has become a popular leisure activity for children and adolescents. The effect of screen time has been a highly debated topic; however, there is still very little known about it. READ MORE

  4. 4. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  5. 5. Application of Deep Q-learning for Vision Control on Atari Environments

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Jim Öhman; [2021]
    Keywords : Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

    Abstract : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. READ MORE