Sökning: "On-line learning"
Visar resultat 21 - 25 av 30 avhandlingar innehållade orden On-line learning.
21. Trust-Based User Profiling
Sammanfattning : We have introduced the notion of user profiling with trust, as a solution to theproblem of uncertainty and unmanageable exposure of personal data duringaccess, retrieval and consumption by web applications. Our solution sug-gests explicit modeling of trust and embedding trust metrics and mechanismswithin very fabric of user profiles. LÄS MER
22. Data-driven Methods for Spoken Dialogue Systems : Applications in Language Understanding, Turn-taking, Error Detection, and Knowledge Acquisition
Sammanfattning : Spoken dialogue systems are application interfaces that enable humans to interact with computers using spoken natural language. A major challenge for these systems is dealing with the ubiquity of variability—in user behavior, in the performance of the various speech and language processing sub-components, and in the dynamics of the task domain. LÄS MER
23. Särskild begåvning i en förskola och skola för alla
Sammanfattning : Based on four articles, this compilation thesis analyses different actors’ constructions of giftedness and ideas about meeting gifted children’s needs in preschool and early childhood educational settings. Previous research has highlighted gifted children’s need for early educational adaptations and support for their continued development and maintained desire for learning. LÄS MER
24. Aspects of recovery following day care anaesthesia : A clinical and experimental study
Sammanfattning : A new test for the assessment of psychomotor recovery - the perceptive accuracy test - was designed and tested in a group of volunteers. It was found to be reproducible and not associated with any significant learning. LÄS MER
25. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks
Sammanfattning : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. LÄS MER