Essays about: "supervised algorithms"

Showing result 1 - 5 of 80 essays containing the words supervised algorithms.

  1. 1. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sai Shyamsunder Kamat; [2019]
    Keywords : anomaly; cyber security; evaluation; machine learning; radial basis function; random forest classifier; supervised learning; anomali; cybersäkerhet; utvärdering; maskininlärning; radialbaserad funktion; slumpmässig skogsklassificering; övervakad inlärning;

    Abstract : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. READ MORE

  2. 2. A comparison of training algorithms when training a Convolutional Neural Network for classifying road signs

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rasmus Bergendal; Andreas Rohlén; [2019]
    Keywords : ;

    Abstract : This thesis is a comparison between three dierent training algorithms when training a Convolutional Neural Network for classifying road signs. The algorithms that were compared were Gradient Descent, Adadelta, and Adam. READ MORE

  3. 3. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Yasser Alsouda; [2019]
    Keywords : urban noise; sound pressure level SPL ; internet of things IoT ; machine learning; support vector machine SVM ; k-nearest neighbors KNN ; bootstrap aggregating Bagging ; random forest; mel-frequency cepstral coeffi-cients MFCC ;

    Abstract : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. READ MORE

  4. 4. How to explain graph-based semi-supervised learning for non-mathematicians?

    University essay from Malmö universitet/Teknik och samhälle

    Author : Mattias Jönsson; Lucas Borg; [2019]
    Keywords : Graph based SSL; Label Propagation; Naive Bayes’; KNN; RBF; Feature extraction; 20 newsgroup; preprocessing; graph construction;

    Abstract : Den stora mängden tillgänglig data på internet kan användas för att förbättra förutsägelser genom maskininlärning. Problemet är att sådan data ofta är i ett obehandlat format och kräver att någon manuellt bestämmer etiketter på den insamlade datan innan den kan användas av algoritmen. READ MORE

  5. 5. A comparative study of social bot classification techniques

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Filip Örnbratt; Jonathan Isaksson; Mario Willing; [2019]
    Keywords : manual bot classification; social bot; metadata; machine learning; supervised learning; unsupervised learning; random forest; k-means;

    Abstract : With social media rising in popularity over the recent years, new so called social bots are infiltrating by spamming and manipulating people all over the world. Many different methods have been presented to solve this problem with varying success. READ MORE