Essays about: "bayesian network"

Showing result 1 - 5 of 72 essays containing the words bayesian network.

  1. 1. Sum-Product Network in the context of missing data

    University essay from KTH/Matematisk statistik

    Author : Pierre Clavier; [2020]
    Keywords : Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Abstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE

  2. 2. Deep Neural Network Compression for Object Detection and Uncertainty Quantification

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Mohammad Ahraz Asif; Georgios Tzelepis; [2019-11-21]
    Keywords : Deep Learning; Model Compression; Knowledge Distillation; Bayesian Deep Learning; Object Detection;

    Abstract : Neural networks have been notorious for being computational expensive. Their demand for hardware resources prohibits their extensive use in embedded devices and puts restrictions on tasks like real time tracking. READ MORE

  3. 3. Machine Learning for a Network-based Intrusion Detection System : An application using Zeek and the CICIDS2017 dataset

    University essay from KTH/Hälsoinformatik och logistik

    Author : Vilhelm Gustavsson; [2019]
    Keywords : Machine Learning; Flow-based traffic characterization; Intrusion Detection System IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn; Maskininlärning; Flödesbaserad trafik-karaktärisering; Intrångsdetekteringssystem IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn;

    Abstract : Cyber security is an emerging field in the IT-sector. As more devices are connected to the internet, the attack surface for hackers is steadily increasing. Network-based Intrusion Detection Systems (NIDS) can be used to detect malicious traffic in networks and Machine Learning is an up and coming approach for improving the detection rate. READ MORE

  4. 4. A natural language processing solution to probable Alzheimer’s disease detection in conversation transcripts

    University essay from Högskolan Kristianstad/Fakulteten för naturvetenskap

    Author : Federica Comuni; [2019]
    Keywords : Bayesian network; long short-term memory recurrent neural network; machine learning; natural language processing; Alzheimer s disease; early detection;

    Abstract : This study proposes an accuracy comparison of two of the best performing machine learning algorithms in natural language processing, the Bayesian Network and the Long Short-Term Memory (LSTM) Recurrent Neural Network, in detecting Alzheimer’s disease symptoms in conversation transcripts. Because of the current global rise of life expectancy, the number of seniors affected by Alzheimer’s disease worldwide is increasing each year. READ MORE

  5. 5. Machine Learning for Sparse Time-Series Classification - An Application in Smart Metering

    University essay from KTH/Matematisk statistik

    Author : Carl Ridnert; [2019]
    Keywords : ;

    Abstract : Smart Meters are measuring devices collecting labeled time series data of utility consumptions from sub-meters and are capable of automatically transmit-ting this between the customer and utility companies together with other companies that offer services such as monitoring of consumption and cleaning of data. The smart meters are in some cases experiencing communication errors. READ MORE