Search for dissertations about: "natural learning processing"
Showing result 21 - 25 of 209 swedish dissertations containing the words natural learning processing.
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21. Deep learning applied to system identification : A probabilistic approach
Abstract : Machine learning has been applied to sequential data for a long time in the field of system identification. As deep learning grew under the late 00's machine learning was again applied to sequential data but from a new angle, not utilizing much of the knowledge from system identification. READ MORE
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22. Machine learning using approximate inference : Variational and sequential Monte Carlo methods
Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE
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23. Bootstrapping Named Entity Annotation by Means of Active Machine Learning
Abstract : This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. READ MORE
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24. Machine learning with state-space models, Gaussian processes and Monte Carlo methods
Abstract : Numbers are present everywhere, and when they are collected and recorded we refer to them as data. Machine learning is the science of learning mathematical models from data. Such models, once learned from data, can be used to draw conclusions, understand behavior, predict future evolution, and make decisions. READ MORE
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25. Gender and representation : investigations of bias in natural language processing
Abstract : Natural Language Processing (NLP) technologies are a part of our every day realities. They come in forms we can easily see as ‘language technologies’ (auto-correct, translation services, search results) as well as those that fly under our radar (social media algorithms, 'suggested reading' recommendations on news sites, spam filters). READ MORE