Sökning: "Ensemble Learning"

Visar resultat 6 - 10 av 69 avhandlingar innehållade orden Ensemble Learning.

1. 6. Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach

   Författare :Michael Green; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ensemble; artificial neural network; machine learning; acute coronary syndrome; electrocardiogram; case based explanation; decision support system;

   Sammanfattning : 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. LÄS MER

3. 7. Reinforcement Learning and Dynamical Systems

   Författare :Björn Lindenberg; Karl-Olof Lindahl; Marc G. Bellemare; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; artificial intelligence; distributional reinforcement learning; Markov decision processes; Bellman operators; deep learning; multi-armed bandits; Bayesian bandits; conjugate priors; Thompson sampling; linear finite dynamical systems; cycle orbits; fixed-point systems; Mathematics; Matematik; Computer Science; Datavetenskap;

   Sammanfattning : 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. LÄS MER

4. 8. Modeling Music : Studies of Music Transcription, Music Perception and Music Production

   Författare :Anders Elowsson; Anders Friberg; Pawel Herman; Anders Askenfelt; Gerhard Widmer; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Music Information Retrieval; MIR; Music; Music Transcription; Music Perception; Music Production; Tempo Estimation; Beat Tracking; Polyphonic Pitch Tracking; Polyphonic Transcription; Music Speed; Music Dynamics; Long-time average spectrum; LTAS; Algorithmic Composition; Deep Layered Learning; Convolutional Neural Networks; Rhythm Tracking; Ensemble Learning; Perceptual Features; Representation Learning;

   Sammanfattning : 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. LÄS MER

5. 9. Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics

   Författare :Sebastian Scher; Gabriele Messori; Roberto Buizza; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; atmosfärvetenskap och oceanografi; Atmospheric Sciences and Oceanography;

   Sammanfattning : 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. LÄS MER

7. 10. Spelets regler : En studie av ensembleundervisning i klass

   Författare :Anna Backman Bister; Cecilia Hultberg; Sidsel Karlsen; Stockholms universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; individually adapted education; peer-teaching and -learning; ensemble teaching; music class teaching; musikpedagogik; Music Education;

   Sammanfattning : The aim of this study is to explore criteria characterizing music teacher’s strategies when trying to adapt their teaching to individual students. The interaction of three music teachers with their students was explored in case studies in different parts of Sweden (a pre-study, and the main study consisting of two parallel studies). LÄS MER