Sökning: "probabilistic classification"
Visar resultat 1 - 5 av 41 avhandlingar innehållade orden probabilistic classification.
1. On approximations and computations in probabilistic classification and in learning of graphical models
Sammanfattning : Model based probabilistic classification is heavily used in data mining and machine learning. For computational learning these models may need approximation steps however. LÄS MER
2. Deep learning applied to system identification : A probabilistic approach
Sammanfattning : Machine learning has been applied to sequential data for a long time in the field of system identification. As deep learning grew under the late 00's machine learning was again applied to sequential data but from a new angle, not utilizing much of the knowledge from system identification. LÄS MER
3. Classification models for high-dimensional data with sparsity patterns
Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER
4. Bayesian inference in probabilistic graphical models
Sammanfattning : This thesis consists of four papers studying structure learning and Bayesian inference in probabilistic graphical models for both undirected and directed acyclic graphs (DAGs).Paper A presents a novel algorithm, called the Christmas tree algorithm (CTA), that incrementally construct junction trees for decomposable graphs by adding one node at a time to the underlying graph. LÄS MER
5. Calibration of Probabilistic Predictive Models
Sammanfattning : Predicting unknown and unobserved events is a common task in many domains. Mathematically, the uncertainties arising in such prediction tasks can be described by probabilistic predictive models. Ideally, the model estimates of these uncertainties allow us to distinguish between uncertain and trustworthy predictions. LÄS MER
