Essays about: "Lärande i nätverk"

Showing result 21 - 25 of 82 essays containing the words Lärande i nätverk.

1. 21. An Empirical Active Learning Study for Temporal Segment Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jilei Mao; [2022]
   Keywords : Active learning; deep learning; Video classification; Temporal Segment Networks; Uncertainty sampling; center sampling;

   Abstract : Video classification is the task of producing a label that is relevant to the video given its frames. Active learning aims to achieve greater accuracy with fewer labeled training instances through a designed query strategy that can select representative instances from the unlabeled training instances and send them to be labeled by an oracle. READ MORE

3. 22. Federated Learning for Market Surveillance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Philip Song; [2022]
   Keywords : Federated Learning; Machine Learning; Market Surveillance; Anomaly Detection; LSTMAutoencoder; Federated Learning; Maskininlärning; Marknadsövervakning; Anomaliupptäckande; LSTMAutoencoder;

   Abstract : The increasing complexity of trading strategies, when combined with machine learning models, forces market surveillance corporations to develop increasingly sophisticated methods for recognizing potential misuse. One strategy is to employ traders’ weapons against themselves, namely machine learning. READ MORE

4. 23. RAISING A NEW COLLECTIVE VOICE THROUGH GREENFIELD UNION ORGANISING : The mobilisation and unionisation of workers and the establishment of a collective agreement at Foodora in Sweden

   University essay from Mälardalens högskola/Akademin för hälsa, vård och välfärd

   Author : Sophie Banasiak; [2021]
   Keywords : workforce fragmentation; food-delivery platforms; greenfield organising; unions; collective agreement; agency; structures; interactions; resources mobilisation; learning; strategy; institutional change; fragmentation du travail; plateformes de livraison de repas; implantation syndicale; syndicats; accord collectif; agence; structures; interactions; mobilisation des ressources; apprentissage; stratégie; changement institutionnel; fragmentering av arbetsstyrka; matleveransplattformar; greenfield-organisering; fackföreningar; kollektivavtal; mänskligt agentskap; strukturer; interaktioner; mobilisering av resurser; lärande; strategiskt handlande; institutionell förändring;

   Abstract : Following an actor-centred approach to institutional change, the aim of the study was to explore the process of ‘greenfield organising’ through which unions and collective bargaining structures are established in workplaces where there are none initially. A qualitative theory-oriented single case study, using some principles of the grounded theory, analysed the organising process and negotiations at Foodora in Sweden that resulted in a collective agreement. READ MORE

5. 24. A comparison of supervised and semi-supervised learning for classification of truck stop locations

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mengdi Xue; [2021]
   Keywords : ;

   Abstract : GPS-based data has been an important source for researchers and commercial fleet companies to study and build transportation models, since GPS uses passive information collecting without including too much human participation, and thus provides the possibility of collecting huge amount of data. Recent research shows that the GPS data can be used to solve different kinds of transportation related problems using machine learning algorithms. READ MORE

6. 25. Outlier detection with ensembled LSTM auto-encoders on PCA transformed financial data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Love Stark; [2021]
   Keywords : Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble learning; Auto-Encoder; anomaly detection; financial data; deep learning; Principal Component Analysis PCA ; Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble lärande; Auto-Encoder; avvikelse detektering; finansiell data; djupinlärning; Principal Component Analysis PCA ;

   Abstract : Financial institutions today generate a large amount of data, data that can contain interesting information to investigate to further the economic growth of said institution. There exists an interest in analyzing these points of information, especially if they are anomalous from the normal day-to-day work. READ MORE