Search for dissertations about: "parameter learning"
Showing result 1 - 5 of 109 swedish dissertations containing the words parameter learning.
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1. Parameter Estimation : Towards Data-Driven and Privacy Preserving Approaches
Abstract : Parameter estimation is a pivotal task across various domains such as system identification, statistics, and machine learning. The literature presents numerous estimation procedures, many of which are backed by well-studied asymptotic properties. READ MORE
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2. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms
Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE
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3. Learning from Interactions : Forward and Inverse Decision-Making for Autonomous Dynamical Systems
Abstract : Decision-making is the mechanism of using available information to generate solutions to given problems by forming preferences, beliefs, and selecting courses of action amongst several alternatives. In this thesis, we study the mechanisms that generate behavior (the forward problem) and how their characteristics can explain observed behavior (the inverse problem). READ MORE
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4. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning
Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE
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5. Parameter Estimation - in sparsity we trust
Abstract : This thesis is based on nine papers, all concerned with parameter estimation. The thesis aims at solving problems related to real-world applications such as spectroscopy, DNA sequencing, and audio processing, using sparse modeling heuristics. READ MORE