Sökning: "localized learning"
Visar resultat 1 - 5 av 25 avhandlingar innehållade orden localized learning.
1. Progesterone metabolites : learning, tolerance, antagonism & metabolism
Sammanfattning : Progesterone metabolites as allopregnanolone, isoallopregnanolone and tetrahydrodeoxy-corticosterone (THDOC) are increased in the luteal phase of the menstrual cycle, throughout pregnancy and during stress. Allopregnanolone and THDOC are neurosteroids with 3α-hydroxy, 5α-configurations and positive modulating effect on the GABAA receptor. LÄS MER
2. Relatedness through kinship : the importance of family co-occurrence for firm performance
Sammanfattning : The aim of the thesis is to analyse the effects of family co-occurrence and past familial relationships (inherited entrepreneurial abilities) on firm performance. This aim is motivated by the contemporary arguments that social relations (e.g. family ties) are important in the analysis of today’s space economy. LÄS MER
3. From Domain Adaptation to Federated Learning
Sammanfattning : Data-driven methods have been gaining increasing attention; however, along with the benefits they offer, they also present several challenges, particularly concerning data availability, accessibility, and heterogeneity, the three factors that have shaped the development of this thesis. Data availability is the primary consideration when employing data-driven methodologies. LÄS MER
4. Theoretical prediction of properties of atomistic systems : Density functional theory and machine learning
Sammanfattning : The prediction of ground state properties of atomistic systems is of vital importance in technological advances as well as in the physical sciences. Fundamentally, these predictions are based on a quantum-mechanical description of many-electron systems. LÄS MER
5. Study on Decentralized Machine Learning and Applications to Wireless Caching Networks
Sammanfattning : To promote the development of distributed machine learning, it is crucial to provide efficient models and training algorithms. This thesis is devoted to the design of distributed multi-task learning and decentralized algorithms, as well as the application of distributed machine learning in wireless caching networks. LÄS MER