Trepo - Selaus asiasanan mukaan "supervised learning"
Viitteet 1-6 / 6
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Behavioral Modeling of Power Amplifiers with Machine Learning Techniques
(2020)
Diplomityö -
Byte-Pair Encoding in the Task of Automated Audio Captioning
(2022)
DiplomityöAutomated audio captioning (AAC) methods largely use deep learning models where the captions are encoded with one-hot word encoding. One-hot word encoding treats each word as being equally similar to all other words. ... -
Data Augmentation Techniques for Robust Audio Analysis
(2019)
DiplomityöHaving large amounts of training data is necessary for the ever more popular neural networks to perform reliably. Data augmentation, i.e. the act of creating additional training data by performing label-preserving ... -
Model compression methods for convolutional neural networks
(2019)
DiplomityöDeep learning has been found to be an effective solution to many problems in the field of computer vision. Convolutional networks have been a particularly successful model for computer vision. Convolutional neural networks ... -
Prediction and Monitoring of Progression of Alzheimer’s Disease : Multivariable approaches for decision support
Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 736 (Tampere University, 2023)
ArtikkeliväitöskirjaAlzheimerin tauti, yksi yleisimmistä muistisairauksista, on hitaasti etenevä aivoja rappeuttava tauti, jolle ei ole vielä parantavaa hoitoa. Tietyt lääkkeet ja elämäntapainterventiot voivat kuitenkin hidastaa taudin ... -
Prediction of children's overweight using supervised learning
(2023)
Pro gradu -tutkielmaBeing overweight is a massive problem all over the world, and it affects developed countries also, including Finland. The aim of this thesis is to investigate whether is it possible to predict if a child is at risk to ...
