Sökning: "Machine Learning"

Visar resultat 1 - 5 av 2196 uppsatser innehållade orden Machine Learning.

1. 1. Machine Learning - The Future of Equity Premium Prediction

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Alfred Hedlund; Ibrahim Mete Bacak; [2021]
   Nyckelord :Machine learning; Equity premium; Prediction; Penalized linear models; Non-linear models;

   Sammanfattning : Predictions of the equity premium have historically been made by using traditional predictive regressions. Despite the great promise of machine learning applications for prediction tasks, it has largely been overlooked in the financial literature. LÄS MER

3. 2. Group Invariant Convolutional Boltzmann Machines

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Maria Lindström; [2020-12-04]
   Nyckelord :Convolutional Boltzmann Machines; Convolutional neural networks; artificial neural networks; machine learning; group invariance; group equivariance;

   Sammanfattning : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. LÄS MER

4. 3. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Fredrik Skärberg; [2020-11-26]
   Nyckelord :Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

   Sammanfattning : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. LÄS MER

5. 4. Interactionwise Semantic Awareness in Visual Relationship Detection

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

   Författare :Pagliarini Giovanni; Imtiaz Azfar; [2020-11-06]
   Nyckelord :Deep Learning; Natural Language Processing; Computer Vision; Visual Relationship Detection; Object Detection;

   Sammanfattning : Visual Relationship Detection (VRD) is a relatively young research area, where thegoal is to develop prediction models for detecting the relationships between objectsdepicted in an image. A relationship is modeled as a subject-predicate-object triplet,where the predicate (e.g an action, a spatial relation, etc. LÄS MER

7. 5. Data-driven configuration recommendation for microwave networks A comparison of machine learning approaches for the recommendation of configurations and the detection of configuration anomalies

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

   Författare :Simon Pütz; Simon Hallborn; [2020-11-06]
   Nyckelord :Configuration; Recommendation; Machine learning; Microwave network;

   Sammanfattning : As mobile networks grow and the demand for faster connections and a better reachabilityincreases, telecommunication providers are looking ahead to an increasingeffort to maintain and plan their networks. It is therefore of interest to avoid manualmaintenance and planning of mobile networks and look into possibilities to helpautomate such processes. LÄS MER