Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Adaptation Algorithms"”.
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Evaluation of speaker adaptation algorithms for public access IVR server
… with evaluating the suitability of speaker adaptation methods for improving the performance of the modern speech recognition using minimal time
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Techniques and adaptation algorithms for direct-sequence spread-spectrum CDMA single-user detection
… spatial redundancy. Commonly used trained adaptation algorithms for single-user detection are first presented, and are followed by newly proposed blind adaptation algorithms. These new blind algorithms are Griffiths’ algorithm, and the linearly constrained constant modulus algorithm (LCCMA …
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Heterogeneous machine learning with decentralized data
… we ensure robustness during both training and adaptation, preventing performance degradation caused by random failures or malicious attacks? To address (P1), we develop client clustering algorithms that enable knowledge transfer among clients with similar data distributions, allowing those with …
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The XFM view adaptation mechanism: An essential component for XML data warehouses
… redefinitions), which is referred to as the view adaptation problem. In our approach, views are defined using XPath and then modelled using a set of novel algebraic operators and fragments. XPath views are integrated into a single view graph called the XML Fragment Materialisation (XFM) View …
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Direct-form adaptive equalization for underwater acoustic communication
… fading and Doppler spreading. The design of the adaptation algorithm has a profound influence on the performance of the system. In this thesis, we explore this aspect of the system. The emphasis of the work presented is on applying concepts from inference and decision theory and information …
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Direct-form adaptive equalization for underwater acoustic communication
… fading and Doppler spreading. The design of the adaptation algorithm has a profound influence on the performance of the system. In this thesis, we explore this aspect of the system. The emphasis of the work presented is on applying concepts from inference and decision theory and information …
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Disaster tweet classification using parts-of-speech tags: a domain adaptation approach
… unseen tweets. But supervised machine learning algorithms make use of labeled training data from the disaster of interest, which is presumably not available for a current target disaster. However, it is reasonable to assume that some amount of labeled data is available for a prior source …
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A Framework for Controlling Quality of Sessions in Multimedia Systems
… The second component is a set of inter-stream adaptation algorithms that dynamically control the bandwidth shares of the streams belonging to a session. Additionally, in order to ensure stability and responsiveness in the inter-stream adaptation process, several measures are taken, including …
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Portfolio management using computational intelligence approaches. Forecasting and Optimising the Stock Returns and Stock Volatilities with Fuzzy Logic, Neural Network and Evolutionary Algorithms.
… accurately. A number of Multi-Objective Genetic Algorithms are proposed to solve the problem with two objectives subject to cardinality constraints, floor constraints and round-lot constraints. Fuzzy logic is incorporated into the Vector Evaluated Genetic Algorithm (VEGA) to but solutions tend to …
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A cut-cell method for adaptive high-order discretizations of conjugate heat transfer problems
… discretization, and an anisotropic output-based adaptation method that autonomously adapts the mesh to minimize the error in an output of interest. An existing cut-cell technique is first extended to generate fully-embedded meshes with multiple sub-domains. Then, a coupled framework that combines …
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Neural adaptive video streaming with pensieve
Client-side video players employ bitrate adaptation algorithms to cater to the ever-growing QoE requirements of users. These ABR algorithms must balance multiple QoE factors, such as maximizing video bitrate and minimizing rebuffering times. Despite the abundance of recently proposed ABR …
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Approximate multi-agent planning in dynamic and uncertain environments
… first focus is the integration of learning and adaptation algorithms into a multi-agent planning architecture to enable online adaptation of planner parameters. A second focus is the development of approximation algorithms to reduce the computational complexity of decentralized multi-agent …
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Using vehicular networks for building distributed networks of services
… changing channel conditions that requires fast adaptation algorithms. Given that all of these solutions are targeted at real-world problems, the strength of our research lies in the fact that we designed and built a prototype device based on customized hardware for use in vehicular networks. …
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Fast learning and adaptation in control and machine learning
… especially in the interactions of learning-based algorithms with the physical world. The dynamical nature of these problems may include regressors which are time-varying, necessitating new algorithms in machine learning approaches as well as real-time decision making in the presence of …
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Graphical model driven methods in adaptive system identification
… making the overall problem considerably simpler. Algorithms that can leverage this property in order to either improve the performance or reduce the computational complexity of the estimation problem are developed. The first of these, termed the graphical expectation-maximization least squares …
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Graphical model driven methods in adaptive system identification
… making the overall problem considerably simpler. Algorithms that can leverage this property in order to either improve the performance or reduce the computational complexity of the estimation problem are developed. The first of these, termed the graphical expectation-maximization least squares …
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A high-order, adaptive, discontinuous Galerkin finite element method for the Reynolds-Averaged Navier-Stokes equations
… and an output-based error estimation and mesh adaptation algorithm for these discretizations. In particular, DG discretizations of the RANS equations with the Spalart-Allmaras (SA) turbulence model are examined. The dual consistency of multiple DG discretizations of the RANS-SA system is …
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Link Adaptation Algorithm and Metric for IEEE Standard 802.16
… provides a framework for implementing link adaptation, it does not define how exactly adaptation algorithms should be developed. This thesis develops a link adaptation algorithm for the IEEE 802.16 standard's WirelessMAN air interface. This algorithm attempts to minimize the end-to-end delay …
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Integrated Multidisciplinary Design Optimization Using Discrete Sensitivity Analysis for Geometrically Complex Aeroelastic Configurations
… the surface parameterization and the grid adaptation algorithms with ADIFOR, an advanced automatic-differentiation software tool. To demonstrate the ability of this procedure to analyze and design complex configurations of practical interest, the sensitivity analysis and shape optimization …
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Learning and memory in chaotic spiking neural models
… such neurons in terms of stability and learning algorithms. The investigation of this model has been carried out experimentally and analytically. The experimental approach has partially explained some quantitative and qualitative properties of the NDS model such as the control mechanism, the …
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