Sökning: "Factor scores"
Visar resultat 16 - 20 av 121 uppsatser innehållade orden Factor scores.
16. "Almas alla vägar" : En UTAUT-analys av Bibliotekssystemet på Umeå Universitetsbibliotek
Kandidat-uppsats, Umeå universitet/Sociologiska institutionenSammanfattning : Library management systems (LMS) are a big part of the workday for most librarians. Everything from acquisitions, managing e-resources and circulation work is done through these kinds of systems. Umeå university library implemented a new LMS called Alma back in 2018. They moved from a local system to a more complex and advanced cloud-based system. LÄS MER
17. A Preliminary Observation: Can One Linguistic Feature Be the Deterministic Factor for More Accurate Fake News Detection?
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : This study inspected three linguistic features, specifically the percentage of nouns per sentence, the percentage of verbs per sentence, as well as the mean of dependency distance of the sentence, and observed their respective influence on the fake news classification accuracy. In comparison to the previous studies where linguistic features are combined as a set to be leveraged, this study attempted to untangle the effective individual features from the previously proposed optimal sets. LÄS MER
18. EXPLORING THE ACCURACY OF SELF-ESTIMATED JOB FIT: DETECTING GENDER AND PERSONALITY INFLUENCES
Master-uppsats, Umeå universitet/Institutionen för psykologiSammanfattning : Self-estimates of performance have been demonstrated to influence actual performance. Different factors have shown to affect the ability to estimate accurately, such as gender and personality. However, these relationships are somewhat ambiguous and have not been studied in relation to fit for a job. LÄS MER
19. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. LÄS MER
20. Investigating Validity of Semantic Measures vs Rating Scales in Assessing Personality
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Within personality research, self-report questionnaires are a common approach. This study takes aim at investigating whether self-report questionnaires are enough, or if semantic measures, through Natural Language Processing, could be a substitute or complementary method, in assessing personality. LÄS MER