Sökning: "computer and systems science Information technology"
Visar resultat 11 - 15 av 1087 avhandlingar innehållade orden computer and systems science Information technology.
11. Information-Theoretic Generalization Bounds: Tightness and Expressiveness
Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER
12. Towards Increased Use of Discrete-Event Simulation for Hospital Resource Planning
Sammanfattning : Health care systems in many countries are experiencing a growing demand while their resources remain limited. The discrepancy between demand and capacity creates many problems – long waiting times for treatment, overcrowding in hospital wards, high workload, etc. LÄS MER
13. Data-driven decision support in digital retailing
Sammanfattning : In the digital era and advent of artificial intelligence, digital retailing has emerged as a notable shift in commerce. It empowers e-tailers with data-driven insights and predictive models to navigate a variety of challenges, driving informed decision-making and strategic formulation. LÄS MER
14. Generative comics - A computational approach to creating comics material
Sammanfattning : Digital storytelling can be employed as a tool that incorporates human creativity with technology. It synthesizes multimedia based elements to create engaging stories and compelling narratives. To this end, this research presents an approach that can be used as an assistant tool for comics artists. LÄS MER
15. Distributed and federated learning of support vector machines and applications
Sammanfattning : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. LÄS MER