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Visar resultat 16 - 20 av 2842 uppsatser innehållade ordet random.

1. 16. Collaborative Learning in an Immersive Virtual Environment: The Effects of Context and Retrieval Practice

   Master-uppsats, Lunds universitet/Institutionen för psykologi

   Författare :Noelle Bender; [2024]
   Nyckelord :VR; collaborative Mapping; retrieval practice; contextual variation; desirable difficulty; ecological validity; Social Sciences;

   Sammanfattning : The accessibility of Virtual Reality (VR) enables the investigation of desirable difficulties originating from memory research with increased ecological validity. The two desirable difficulties include contextual variation and retrieval practice. LÄS MER

3. 17. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

4. 18. Stock Price Predictions for FAANG Companies Using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Hugo Dahlquist; Fredrik Fourong; [2024]
   Nyckelord :Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

   Sammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER

5. 19. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

   Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Sofia Leksell; [2024]
   Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

   Sammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. LÄS MER

7. 20. Kostar det att undvika skjutningar? : En kvantitativ studie kring skjutningars påverkan på bostadspriser i Stockholm

   Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionen

   Författare :Martin Nilsson; Fabian Sandberg; [2024]
   Nyckelord :Housing market; Hedonic pricing; Shootings; Stockholm; Bostadsmarknaden; Hedonisk prissättning; Skjutningar; Stockholm;

   Sammanfattning : Att välja var man ska bo är ett stort beslut för människor där många faktorer spelar in. Med den växande kriminella närvaron och skjutvåldet i Sverige som det ofta skrivs om i media är det inte orimligt att tro att även detta spelar in, människor vill vara trygga där de bor. LÄS MER