Sökning: "Constrained inference"

Visar resultat 1 - 5 av 12 avhandlingar innehållade orden Constrained inference.

1. 1. Order restricted inference over countable preordered sets. Statistical aspects of neutron detection

   Författare :Vladimir Pastukhov; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Constrained inference; Isotonic regression; Density estimation; Grenander estimator; Limit distribution; Neutron detection;

   Sammanfattning : This thesis consists of four papers. In the first paper, we study the isotonic regression estimator over a general countable preordered set. We obtain the limiting distribution of the estimator and study its properties. Also, it is shown that the isotonisation preserves the rate of convergence of the underlying estimator. LÄS MER

3. 2. Delving in the Dark : Searching for Signatures of Non-Standard Physics in Cosmological and Astrophysical Observables

   Författare :Janina J. Renk; Joakim Edsjö; Pat Scott; Felix Kahlhöfer; David F. Mota; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; cosmology; gravitation; Galileon; dark energy; dark matter; cosmic superstrings; neutrino mass; parameter inference; teoretisk fysik; Theoretical Physics;

   Sammanfattning : The dark sectors of our Universe, dark matter and dark energy, together constitute about 96 % of the total energy content of the Universe. To date, we only have observational evidence for their existence. LÄS MER

4. 3. Novel likelihood-based inference techniques for sequential data with medical and biological applications

   Författare :Negar Safinianaini; Henrik Boström; Morris Quaid; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The probabilistic approach is crucial in modern machine learning, as it provides transparency and quantification of uncertainty. This thesis is concerned with the probabilistic building blocks, i.e., probabilistic graphical models (PGM) followed by application of standard deterministic approximate inference, i. LÄS MER

5. 4. Towards safe and efficient application of deep neural networks in resource-constrained real-time embedded systems

   Författare :Siyu Luan; Zonghua Gu; Leonid B. Freidovich; Lei Feng; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning Deep Learning; Real-Time Embedded systems; Out-of-Distribution Detection; Distribution Shifts; Deep Reinforcement Learning; Model Compression; Policy Distillation.;

   Sammanfattning : We consider real-time safety-critical systems that feature closed-loop interactions between the embedded computing system and the physical environment with a sense-compute-actuate feedback loop. Deep Learning (DL) with Deep Neural Networks (DNNs) has achieved success in many application domains, but there are still significant challenges in its application in real-time safety-critical systems that require high levels of safety certification under significant hardware resource constraints. LÄS MER

7. 5. Sample Efficient Bayesian Reinforcement Learning

   Författare :Divya Grover; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Decision Making under Uncertainty; Bayesian Reinforcement Learning; Model based Reinforcement Learning;

   Sammanfattning : Artificial Intelligence (AI) has been an active field of research for over a century now. The research field of AI may be grouped into various tasks that are expected from an intelligent agent; two major ones being learning & inference and planning . LÄS MER