Search for dissertations about: "Ensemble Learning"

Showing result 16 - 20 of 57 swedish dissertations containing the words Ensemble Learning.

2. 16. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

   Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

   Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE

4. 17. Machine learning for anomaly detection in edge clouds

   Author : Javad Forough; Erik Elmroth; Monowar H. Bhuyan; Shahid Raza; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Edge Clouds; Anomaly Detection; Machine Learning;

   Abstract : Edge clouds have emerged as an essential architecture, revolutionizing data processing and analysis by bringing computational capabilities closer to data sources and end-users at the edge of the network. Anomaly detection is crucial in these settings to maintain the reliability and security of edge-based systems and applications despite limited computational resources. READ MORE

5. 18. Decision-Making in Autonomous Driving using Reinforcement Learning

   Author : Carl-Johan E Hoel; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Monte Carlo tree search; epistemic uncertainty; tactical decision-making; reinforcement learning; neural networks; aleatoric uncertainty; autonomous driving;

   Abstract : The main topic of this thesis is tactical decision-making for autonomous driving. An autonomous vehicle must be able to handle a diverse set of environments and traffic situations, which makes it hard to manually specify a suitable behavior for every possible scenario. READ MORE

6. 19. Machine Learning Approaches to Develop Weather Normalize Models for Urban Air Quality

   Author : Chau Ngoc Phuong; Mengjie Han; Rasa Zalakeviciute; Ilias Thomas; Mario Salvador González Rodríguez; Högskolan Dalarna; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Weather Normalized Models WNMs ; Air Pollution; Data-Driven Modeling and Optimization; Deep Learning - Artificial Neural Network DL-ANN ; Machine Learning;

   Abstract : According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). READ MORE

7. 20. Data-Driven Techniques for Fluid Mechanics and Heat Transfer

   Author : Jerol Soibam; Rebei Bel Fdhila; Konstantinos Kyprianidis; Ioanna Aslanidou; Ricardo Vinuesa Motilva; Mälardalens universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fluid mechanics; Heat Transfer; Machine Learning; Deep Learning; Energy- and Environmental Engineering; energi- och miljöteknik;

   Abstract : One of the main challenges in fluid mechanics and heat transfer is the need for detailed studies andfast computational speed to monitor and optimise a system. These fluid/heat flows comprise time-dependent velocity, multi-scale, pressure, and energy fluctuations. READ MORE