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Visar resultat 1 - 5 av 21 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning

   Författare :Slawomir Nowaczyk; Data Vetenskap; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Rational Agents; Artificial Intelligence; Machine Learning;

   Sammanfattning : Rational, autonomous agents that are able to achieve their goals in dynamic, partially observable environments are the ultimate dream of Artificial Intelligence research since its beginning. The goal of this PhD thesis is to propose, develop and evaluate a framework well suited for creating intelligent agents that would be able to learn from experience, thus becoming more efficient at solving their tasks. LÄS MER

3. 2. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

   Författare :Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

   Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER

4. 3. Deep Evidential Doctor

   Författare :Awais Ashfaq; Sławomir Nowaczyk; Mark Dougherty; Cristina Soguero Ruiz; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Recent years have witnessed an unparalleled surge in deep neural networks (DNNs) research, surpassing traditional machine learning (ML) and statistical methods on benchmark datasets in computer vision, audio processing and natural language processing (NLP). Much of this success can be attributed to the availability of numerous open-source datasets, advanced computational resources and algorithms. LÄS MER

5. 4. Predicting clinical outcomes via machine learning on electronic health records

   Författare :Awais Ashfaq; Sławomir Nowaczyk; Jerker Westin; Högskolan i Halmstad; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

   Sammanfattning : The rising complexity in healthcare, exacerbated by an ageing population, results in ineffective decision-making leading to detrimental effects on care quality and escalates care costs. Consequently, there is a need for smart decision support systems that can empower clinician's to make better informed care decisions. LÄS MER

7. 5. Self-Monitoring using Joint Human-Machine Learning : Algorithms and Applications

   Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Rita Ribeiro; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; self-monitoring; anomaly detection; machine learning;

   Sammanfattning : The ability to diagnose deviations and predict faults effectively is an important task in various industrial domains for minimizing costs and productivity loss and also conserving environmental resources. However, the majority of the efforts for diagnostics are still carried out by human experts in a time-consuming and expensive manner. LÄS MER