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1. Hidden Markov models : Identification, control and inverse filtering
Sammanfattning : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. LÄS MER
2. Real-Time Workload Models : Expressiveness vs. Analysis Efficiency
Sammanfattning : The requirements for real-time systems in safety-critical applications typically contain strict timing constraints. The design of such a system must be subject to extensive validation to guarantee that critical timing constraints will never be violated while the system operates. LÄS MER
3. Transport, Mobility, and Workplace Location : Models and Applications
Sammanfattning : Travel demand analysis is one of the core constituents of transportation studies. Therequired insight to maintain and develop a sustainable transportation system, in additionto learning from previous research globally and locally, is generated from studyingthe effects of previous policies, investigating future possibilities and potential outcomes,and describing the current situation. LÄS MER
4. Towards Accurate and Reliable Deep Regression Models
Sammanfattning : Regression is a fundamental machine learning task with many important applications within computer vision and other domains. In general, it entails predicting continuous targets from given inputs. LÄS MER
5. Perspectives on Probabilistic Graphical Models
Sammanfattning : 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. LÄS MER