Sökning: "Probabilistic Prediction"

Visar resultat 1 - 5 av 68 avhandlingar innehållade orden Probabilistic Prediction.

1. 1. Short-Term Traffic Prediction in Large-Scale Urban Networks

   Författare :Matej Cebecauer; Erik Jenelius; Wilco Burghout; Balázs Kulcsár; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; travel time prediction; short-term travel time prediction; traffic prediction; clustering; partitioning; spatio-temporal partitioning; large-scale prediction; PPCA; 3D speed map; Transportvetenskap; Transport Science;

   Sammanfattning : City-wide travel time prediction in real-time is an important enabler for efficient use of the road network. It can be used in traveler information to enable more efficient routing of individual vehicles as well as decision support for traffic management applications such as directed information campaigns or incident management. LÄS MER

3. 2. From data to decision - learning by probabilistic risk analysis of biological invasions

   Författare :Ullrika Sahlin; Biologiska institutionen; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; probabilistic models; establishment success; prediction; forecasting; uncertainty; risk; invasive species; Bayesian methods;

   Sammanfattning : Predicting an uncertain future with uncertain knowledge is a challenge. The success of efforts to preserve biodiversity, to maintain biosecurity and to reduce a negative impact from climate change, depend on scientifically based predictions of future events. LÄS MER

4. 3. Reliable Uncertainty Quantification in Statistical Learning

   Författare :David Widmann; Fredrik Lindsten; Dave Zachariah; Erik Sjöblom; Dino Sejdinovic; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Reliability; Calibration; Uncertainty; Probabilistic Model; Prediction; Julia; Machine learning; Maskininlärning;

   Sammanfattning : Mathematical models are powerful yet simplified abstractions used to study, explain, and predict the behavior of systems of interest. This thesis is concerned with their latter application as predictive models. LÄS MER

5. 4. Forecasting of Icing Related Wind Energy Production Losses : Probabilistic and Machine Learning Approaches

   Författare :Jennie Molinder; Anna Sjöblom; Heiner Körnich; Hans Bergström; Erik Nilsson; Sue Ellen Haupt; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Wind energy; Icing on wind turbines; Machine learning; Probabilistic forecasting; Meteorologi; Meteorology;

   Sammanfattning : Icing on wind turbine blades causes significant production losses for wind energy in cold climate. Next-day forecasts of these production losses are crucial for the power balance in the electrical grid and for the trading process, but they are uncertain due to lack of understanding of, and simplifications, in the modelling chain. LÄS MER

7. 5. Modeling prediction and pattern recognition in the early visual and olfactory systems

   Författare :Bernhard Kaplan; Lansner Anders; Fred Hamker; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spiking neural networks; pattern recognition; self-organization; prediction; anticipation; visual system; olfactory system; modeling; Computer Science; Datalogi;

   Sammanfattning : Our senses are our mind's window to the outside world and determine how we perceive our environment.Sensory systems are complex multi-level systems that have to solve a multitude of tasks that allow us to understand our surroundings. LÄS MER