Sökning: "Informativa prover"

Hittade 2 uppsatser innehållade orden Informativa prover.

1. 1. Active Learning using a Sample Selector Network

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

   Författare :Run Yan Tan; [2020]
   Nyckelord :Active Learning; Machine Learning; Label budget; Label acquisition; Informative samples; Aktivt Lärande; Maskininlärning; Etikettbudget; Etikettförvärv; Informativa prover;

   Sammanfattning : In this work, we set the stage of a limited labelling budget and propose using a sample selector network to learn and select effective training samples, whose labels we would then acquire to train the target model performing the required machine learning task. We make the assumption that the sample features, the state of the target model and the training loss of the target model are informative for training the sample selector network. LÄS MER

3. 2. Enhancing Deep Active Learning Using Selective Self-Training For Image Classification

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

   Författare :Emmeleia Panagiota Mastoropoulou; [2019]
   Nyckelord :Semi-supervised learning; Active learning; Image classification; Deep learning; Transfer learning; Uncertainty sampling; Forgetting Event; Semi-övervakad inlärning; Aktivt lärande; Bildklassificering; Djup lärning; Överför lärande; Osäkerhet provtagning; Glömmer händelse;

   Sammanfattning : A high quality and large scale training data-set is an important guarantee to teach an ideal classifier for image classification. Manually constructing a training data- set  with  appropriate  labels  is  an  expensive  and  time  consuming  task. LÄS MER