Sökning: "temporala relationer"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden temporala relationer.
1. Classification of Financial Transactions using Lightweight Memory Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Various forms of fraud have substantially impacted our lives and caused considerable losses to some people. To reduce these losses, many researchers have devoted themselves to the study of fraud detection. LÄS MER
2. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. LÄS MER
3. En kontrastiv studie om temporala bisatser på svenska och bulgariska
Kandidat-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : Temporala bisatser är ett av flera sätt att ange tid, de andra sätten är bland annat tempus och temporala adverb. Genom att undersöka temporala bisatser i svenska och bulgariska är det möjligt att illustrera likheter och skillnader i användning och funktion av temporala bisatser. LÄS MER
4. Churn Analysis in a Music Streaming Service : Predicting and understanding retention
Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Churn analysis can be understood as a problem of predicting and understanding abandonment of use of a product or service. Different industries ranging from entertainment to financial investment, and cloud providers make use of digital platforms where their users access their product offerings. LÄS MER
5. Unsupervised Spatio-Temporal Activity Learning and Recognition in a Stream Processing Framework
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerad datorsystem; Linköpings universitet/Tekniska högskolanSammanfattning : Learning to recognize and predict common activities, performed by objects and observed by sensors, is an important and challenging problem related both to artificial intelligence and robotics.In this thesis, the general problem of dynamic adaptive situation awareness is considered and we argue for the need for an on-line bottom-up approach. LÄS MER