Sökning: "parameter learning"

Visar resultat 21 - 25 av 111 avhandlingar innehållade orden parameter learning.

1. 21. Channel Gain Prediction for Cooperative Multi-Agent Systems

   Författare :Markus Fröhle; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gaussian processes; channel prediction; multi-agent systems; spatial correlation; wireless ad-hoc networks; parameter learning; distributed algorithms;

   Sammanfattning : In a cooperative multi-agent system (MAS), agents communicate with each other using the wireless medium. As agents move in the environment in order to fulfill the MAS' higher level task, their location changes and so does the wireless communication channel they experience. LÄS MER

3. 22. Applications of Information Inequalities to Linear Systems : Adaptive Control and Security

   Författare :Ingvar Ziemann; Henrik Sandberg; Alexandre Proutiere; Nikolai Matni; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stochastic Adaptive Control; Machine Learning; Fisher Information; Secure Control; Fundamental Limitations; Reinforcement Learning; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : This thesis considers the application of information inequalities, Cramér-Rao type bounds, based on Fisher information, to linear systems. These tools are used to study the trade-offs between learning and performance in two application areas: adaptive control and control systems security. LÄS MER

4. 23. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions

   Författare :Mohamed Abdalmoaty; Håkan Hjalmarsson; Adrian Wills; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prediction Error Method; Maximum Likelihood; Data-driven; Learning; Stochastic; Nonlinear; Dynamical Models; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Estimation; Process Disturbance; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. LÄS MER

5. 24. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring

   Författare :Hamidur Rahman; Mobyen Uddin Ahmed; Shahina Begum; Peter Funk; Hasan Fleyeh; Mälardalens högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Driver Monitoring; Artificial Intelligence; Machine Learning; Deep Learning; Computer Science; datavetenskap;

   Sammanfattning : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. LÄS MER

7. 25. Essays on Incomplete Information in Financial Markets

   Författare :Frederik Lundtofte; Nationalekonomiska institutionen; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; ekonomiska system; ekonomisk politik; Financial science; Finansiering; ekonomisk teori; economic policy; Nationalekonomi; ekonometri; Economics; econometrics; economic theory; factor pricing models; hedging demands; estimation risk; partial information; learning; economic systems;

   Sammanfattning : This thesis consists of three essays on incomplete information in financial markets, two of which are theoretical, and one that is mainly of an empirical nature. All three essays concern parameter uncertainty, and they employ a continuous-time framework. LÄS MER