Search for dissertations about: "markov computer"
Showing result 6 - 10 of 86 swedish dissertations containing the words markov computer.
-
6. Perspectives on Probabilistic Graphical Models
Abstract : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. READ MORE
-
7. Probabilistic Models for Species Tree Inference and Orthology Analysis
Abstract : A phylogenetic tree is used to model gene evolution and species evolution using molecular sequence data. For artifactual and biological reasons, a gene tree may differ from a species tree, a phenomenon known as gene tree-species tree incongruence. Assuming the presence of one or more evolutionary events, e.g. READ MORE
-
8. Games and Probabilistic Infinite-State Systems
Abstract : Computer programs keep finding their ways into new safety-critical applications, while at the same time growing more complex. This calls for new and better methods to verify the correctness of software. We focus on one approach to verifying systems, namely that of model checking. READ MORE
-
9. A new kernel method for object recognition:spin glass-Markov random fields
Abstract : Recognizing objects through vision is an important part of our lives: we recognize people when we talk to them, we recognize our cup on the breakfast table, our car in a parking lot, and so on. While this task is performed with great accuracy and apparently little effort by humans, it is still unclear how this performance is achieved. READ MORE
-
10. Timing and Schedulability Analysis of Real-Time Systems using Hidden Markov Models
Abstract : In real-time systems functional requirements are coupled to timing requirements, a specified event needs to occur at the appropriate time. In order to ensure that timing requirements are fulfilled, there are two main approaches, static and measurement-based. READ MORE