Search for dissertations about: "Vector Space Models"
Showing result 1 - 5 of 64 swedish dissertations containing the words Vector Space Models.
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1. Journeys in vector space: Using deep neural network representations to aid automotive software engineering
Abstract : Context - The automotive industry is in the midst of a transformation where software is becoming the primary tool for delivering value to customers. While this has vastly improved their product offerings, vehicle manufacturers are facing an urgent need to continuously develop, test, and deliver functionality, while maintaining high levels of quality. READ MORE
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2. VAR Models, Cointegration and Mixed-Frequency Data
Abstract : This thesis consists of five papers that study two aspects of vector autoregressive (VAR) modeling: cointegration and mixed-frequency data.Paper I develops a method for estimating a cointegrated VAR model under restrictions implied by the economy under study being a small open economy. READ MORE
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3. The Complex World of Superstrings : On Semichiral Sigma Models and N=(4,4) Supersymmetry
Abstract : Non-linear sigma models with extended supersymmetry have constrained target space geometries, and can serve as effective tools for investigating and constructing new geometries. Analyzing the geometrical and topological properties of sigma models is necessary to understand the underlying structures of string theory. READ MORE
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4. Construction of Composite Models from Large Data-Sets
Abstract : Most processes of realistic complexity cannot be described by simple linear relationships. In this thesis we describe a method of how to construct composite models from observed data. It is assumed that the dynamics of the process changes with som 'operating-point vector', which is assumed to be a measurable quantity. READ MORE
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5. On Robust LPC-spectrum Coding and Vector Quantization
Abstract : Digital speech coding is concerned with representing a discrete-time speech signal with as few bits per second as possible without introducing annoying artifacts in the coded speech. Many modern speech coders are based on Linear Predictive Coding (LPC) which employ a source-filter model for speech production. READ MORE