Search for dissertations about: "Ensemble Learning"
Showing result 6 - 10 of 57 swedish dissertations containing the words Ensemble Learning.
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6. Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach
Abstract : Acute coronary syndrome (ACS) is the biggest people killer in the western world today. Despite well trained physicians and reliable diagnostic tools, diagnosing ACS early in the emergency departments (ED) remains a challenge. READ MORE
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7. Reinforcement Learning and Dynamical Systems
Abstract : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. READ MORE
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8. Modeling Music : Studies of Music Transcription, Music Perception and Music Production
Abstract : This dissertation presents ten studies focusing on three important subfields of music information retrieval (MIR): music transcription (Part A), music perception (Part B), and music production (Part C).In Part A, systems capable of transcribing rhythm and polyphonic pitch are described. READ MORE
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9. Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics
Abstract : Weather and climate prediction is dominated by high dimensionality, interactions on many different spatial and temporal scales and chaotic dynamics. This makes many problems in the field quite complex ones, and also state-of-the-art numerical models are - despite their immense computational costs - not sufficient for many applications. READ MORE
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10. Deep Learning Applications for Biomedical Data and Natural Language Processing
Abstract : The human brain can be seen as an ensemble of interconnected neurons, more or less specialized to solve different cognitive and motor tasks. In computer science, the term deep learning is often applied to signify sets of interconnected nodes, where deep means that they have several computational layers. READ MORE