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Visar resultat 1 - 5 av 26 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Progesterone metabolites : learning, tolerance, antagonism & metabolism

   Författare :Charlotte Öfverman; Inga-Maj Johansson; Torbjörn Bäckström; Esa Korpi; Umeå universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; allopregnanolone; isoallopregnanolone; THDOC; learning; tolerance; antagonism; inhibition; patch clamp; Morris water maze; metabolism; epimerization; Obstetrics and gynaecology; Obstetrik och gynekologi; obstetrik och gynekologi; Obstetrics and Gynaecology;

   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

3. 2. Relatedness through kinship : the importance of family co-occurrence for firm performance

   Författare :Evans Korang Adjei; Urban Lindgren; Rikard Eriksson; Rodrigo Basco; Umeå universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; proximity dimension; agglomeration economies; family; family co-occurrence; family firm; region; firm performance; regional development; entrepreneurial capital; localized learning; Sweden; Social and Economic Geography; kulturgeografi;

   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

4. 3. From Domain Adaptation to Federated Learning

   Författare :Zahra Taghiyarrenani; Sławomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia; Eirini Ntoutsi; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   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

5. 4. Theoretical prediction of properties of atomistic systems : Density functional theory and machine learning

   Författare :Alexander Lindmaa; Rickard Armiento; Igor Abrikosov; Torbjörn Björkman; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   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

7. 5. Study on Decentralized Machine Learning and Applications to Wireless Caching Networks

   Författare :Yu Ye; Ming Xiao; Zhu Han; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Distributed multi-task learning; decentralized optimization; ADMM; mobility-aware wireless caching; Distribuerat lärande med flera uppgifter; decentraliserad optimering; ADMM; mobilitetsmedveten trådlös cache; Electrical Engineering; Elektro- och systemteknik;

   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