Search for dissertations about: "support vector machine"

Showing result 1 - 5 of 48 swedish dissertations containing the words support vector machine.

  1. 1. Failure diagnostics using support vector machine

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Yuan Fuqing; [2011]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Failure diagnostics is an important part of condition monitoring aiming to identify incipient failures in early stages. Accurate and efficient failure diagnostics can guarantee that the operator makes the correct maintenance decision, thereby reducing the maintenance costs and improving system availability. READ MORE

  2. 2. Fixed points, fractals, iterated function systems and generalized support vector machines

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Xiaomin Qi; Sergei Silvestrov; Anatoliy Malyarenko; Daniel Andren; Viktor Abramov; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; support vector machine; fixed points; iterated function system; variational inequality; Mathematics Applied Mathematics; matematik tillämpad matematik;

    Abstract : In this thesis, fixed point theory is used to construct a fractal type sets and to solve data classification problem. Fixed point method, which is a beautiful mixture of analysis, topology, and geometry has been revealed as a very powerful and important tool in the study of nonlinear phenomena. READ MORE

  3. 3. Machine learning for identification of brain activity patterns with applications in gentle touch processing

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Malin Björnsdotter Åberg; Göteborgs universitet.; Gothenburg University.; [2009]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Somatosensory; Machine learning; Pattern recognition; fMRI; Support vector machines; Neuroscience; Brain; BOLD; Signal processing; Artificial intelligence; Touch; Human; Unmyelinated; Sensory; Affective;

    Abstract : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. READ MORE

  4. 4. On Enhancement and Quality Assessment of Audio and Video in Communication Systems

    University dissertation from Karlskrona : Blekinge Institute of Technology

    Author : Andreas Rossholm; [2014]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; QoE; video quality assessment; video quality metric; multi-linear regression; artificial neural network; support vector machine; quality predictor; machine learning; temporal scaling; spatial scaling; video compression; deblocking filter; noise cancelling; synchronization; audio delay; video delay; GSM interference signal; noise cancellation; notch filtering;

    Abstract : The use of audio and video communication has increased exponentially over the last decade and has gone from speech over GSM to HD resolution video conference between continents on mobile devices. As the use becomes more widespread the interest in delivering high quality media increases even on devices with limited resources. READ MORE

  5. 5. High-Performance Computing For Support Vector Machines

    University dissertation from Skövde : University of Skövde

    Author : Shirin Tavara; Alexander Schliep; Alexander Karlsson; Richard Johansson; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ; INF301 Data Science; INF301 Data Science;

    Abstract : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. READ MORE