Search for dissertations about: "labeling"

Showing result 6 - 10 of 302 swedish dissertations containing the word labeling.

  2. 6. On Bit-Wise Decoders for Coded Modulation

    Author : Mikhail Ivanov; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; bit-error probability; L-values; labeling; Gray code; coded modulation; log-likelihood ratio; maximum likelihood decoder; Additive white Gaussian noise; quadrature amplitude modulation.; interleaver; flat fading channel; pairwise error probability;

    Abstract : Coded modulation is a technique that emerged as a response to the growing demand for high data rates. It was devised to achieve high spectral efficiency with high reliability, potentially approaching Shannon’s capacity. The main idea of coded modulation consists in combining error-correcting coding with higher-order modulation. READ MORE

  4. 7. Categorization Work in the Swedish Welfare State : Doctors and social insurance officers on persons with mental ill-health

    Author : Maricel L Knechtel; Michael Allvin; Rafael Lindqvist; Sandra Torres; David Rosenberg; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; institutional categorization; institutional categories; street-level bureaucrats; discretion; sick leave; sick listing; diagnosis; mental illness; psychiatric diagnosis; moral work; deservingness; worthiness; medical sociology; work capability; medical certification; social insurance; vignette studies; discrimination; labeling; stickiness; social mechanisms; matching; screening; signaling; cognitive categorization; working conditions; conflicting demands; client processing; Human Service Organizations; work approach; primary health care; moral stress; Bayes; work capability; rationing; Sociologi; Sociology;

    Abstract : This dissertation contributes to the debate on street-level bureaucracy, which highlights how the decisions made by workers in public bureaucracies effectively become public policy. This debate has paid relatively little attention to the study of how professionals carry out their work by means of institutional categorization, a knowledge gap that this study helps to close. READ MORE

  5. 8. Synthesis of Organofluorine Compounds and Allenylboronic Acids - Applications Including Fluorine-18 Labelling

    Author : Denise N. Meyer; Kálmán J. Szabó; Dominique Cahard; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; boron; allenylboronic acid; BINOL; homopropargyl alcohol; organocatalyst; organoboron; organofluorine; fluorine; fluorine-18; late-stage; labelling; labeling; nucleophilic; electrophilic; fluorination; positron emision tomography; PET; radiotracer; hypervalent iodine; benziodoxole; benzoxazepines; diaryliodonium salt; metal-free; neutrophil elastase; NE; neutrophil elastase inhibitor; trifluoromethylation; trifluoromethylthiolation; difluoro enol silyl ethers; organisk kemi; Organic Chemistry;

    Abstract : This work is focused on two areas: the chemistry of organofluorine and organoboron compounds. In the first chapter, a copper-catalysed synthesis of tri- and tetrasubstituted allenylboronic acids is presented. Extension of the same method leads to allenylboronic esters. READ MORE

  6. 9. On Speech-to-Text Alignment, Phonetic Labeling, and Recursive Signal Processing

    Author : Åke Andersson; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; phonetic labeling; recursive algorithms; adaptive algorithms; speech-to-text alignment; dynamic programming; time-varying systems; subspace tracking; time-alignment; parameter estimation; time-warping;

    Abstract : Speech data-bases are an important issue in the study of speech communication. In particular, time-aligned and phonetically labeled speech data-bases are useful during the design of applications such as speech recognizers. The time-alignment and labeling of the speech data is traditionally done manually. READ MORE

  7. 10. Opportunities, Challenges and Solutions for Automatic Labeling of Data Using Machine Learning

    Author : Teodor Fredriksson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Active Learning; Data Labeling; Software Engineering; Semi-Supervised Learning;

    Abstract : Context: Supervised learning is the most common machine learning paradigm and requires labeled data. Because much data in the industry is unlabeled, data labeling is an essential step in the data preparation process. READ MORE