Essays about: "Machine Learning"

Showing result 1 - 5 of 399 essays containing the words Machine Learning.

  1. 1. Applying Dropout to Prevent Shallow Neural Networks from Overtraining

    University essay from Lunds universitet/Teoretisk partikelfysik

    Author : Denhanh Huynh; [2017]
    Keywords : Physics and Astronomy;

    Abstract : Artificial neural networks are machine learning systems based on the neural networks of the human brain. A problem that has to be overcome for neural networks is overtraining, which means that the network performs well on data that has been used for training the network, but does not make good predictions on new data. READ MORE

  2. 2. Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images

    University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik

    Author : Lewis Belcher; [2017]
    Keywords : Machine Learning; Theoretical Physics; Supervised Learning; Artificial Neural Networks; Convolutional Neural Networks; Image Classification; Deep Learning; Prostate Cancer; Metastatic Disease; Physics and Astronomy;

    Abstract : Convolutional neural networks (CNNs) are used to classify directly on bone scan images in two medical tasks: classifying anterior / posterior pose, and classifying bone scan hotspots as metastatic / non-metastatic in patients with prostate cancer and suspected metastatic disease. The networks trained produce highly accurate results in both tasks and current methods are outperformed for all tested body regions when classifying metastatic / non-metastatic hotspots. READ MORE

  3. 3. Adaptive Learning

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Per Grundtman; [2017]
    Keywords : adaptive learning; machine learning; e-learning; biosyncing; biometric sensors; Empatica E4; Intelligent Tutoring Systems; WEKA;

    Abstract : The purpose of this project is to develop a novel proof-of-concept system in attempt to measure affective states during learning-tasks and investigate whether machine learning models trained with this data has the potential to enhance the learning experience for an individual. By considering biometric signals from a user during a learning session, the affective states anxiety, engagement and boredom will be classified using different signal transformation methods and finally using machine-learning models from the Weka Java API. READ MORE

  4. 4. Classifying patients' response to tumour treatment from PET/CT data: a machine learning approach

    University essay from KTH/Skolan för teknik och hälsa (STH)

    Author : Giulia Buizza; [2017]
    Keywords : treatment response; PET CT; Radiomics; feature extraction; support vector machines;

    Abstract : Early assessment of tumour response has lately acquired big interest in the medical field, given the possibility to modify treatments during their delivery. Radiomics aims to quantitatively describe images in radiology by automatically extracting a large number of image features. READ MORE

  5. 5. Using Unsupervised Machine Learning for Outlier Detection in Data to Improve Wind Power Production Prediction

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Ludvig Åkerberg; [2017]
    Keywords : Machine learning; Outlier detection; Data analysis; Wind power prediction;

    Abstract : The expansion of wind power for electrical energy production has increased in recent years and shows no signs of slowing down. This unpredictable source of energy has contributed to destabilization of the electrical grid causing the energy market prices to vary significantly on a daily basis. READ MORE