Essays about: "HMM"
Showing result 26 - 30 of 65 essays containing the word HMM.
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26. An analysis of the effects of particle amount on the accuracy of particle filter estimations of marginal likelihood
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Particle filters are a type of genetic Monte Carlo algorithms that are broadly applied on filtering problems arising in signal processing and Bayesian statistical inference. These type of inference problems are easily modelled as hidden Markov models. READ MORE
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27. Zero-Inflated Hidden Markov Models and Optimal Trading Strategies in High-Frequency Foreign Exchange Trading
University essay from KTH/Matematisk statistikAbstract : The properties of high-frequency foreign exchange markets and how well they can be modeled using Hidden Markov Models will be studied in this thesis. Specifically, a Zero-inflated Poisson HMM will be implemented and evaluated for high-frequency price data for the EURSEK exchange rate. READ MORE
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28. Generating synthetic data through Hidden Markov Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning has becoming a trending topic in the last years, being now one of the most demanding careers in computer science. This growing has led to more complex models capable of driving a car or cancer detection, however this models improvements are also thanks to the improvements in computational power. READ MORE
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29. Personalized Dynamic Hand Gesture Recognition
University essay from KTH/Medieteknik och interaktionsdesign, MIDAbstract : Human gestures, with the spatial-temporal variability, are difficult to be recognized by a generic model or classifier that are applicable for everyone. To address the problem, in this thesis, personalized dynamic gesture recognition approaches are proposed. READ MORE
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30. Human Activity Recognition using Deep Learning and Sensor Fusion
University essay from Lunds universitet/Matematik LTHAbstract : The subject of this thesis is human activity recognition in health care. The data set used is the SBHAR data set. It contains accelerometer and gyroscope of 30 different individuals walking, walking upwards, walking downwards, sitting, standing and lying. READ MORE