Essays about: "Feature Dimension Reduction"
Showing result 1 - 5 of 9 essays containing the words Feature Dimension Reduction.
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1. W2R: an ensemble Anomaly detection model inspired by language models for web application firewalls security
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, web application attacks have increased tremendously due to the large number of users and applications. Thus, industries are paying more attention to using Web application Firewalls and improving their security which acts as a shield between the app and the internet by filtering and monitoring the HTTP traffic. READ MORE
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2. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE
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3. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE
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4. Clustering SQL-queries using unsupervised machine learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Decerno has created a business system that utilizes Microsoft's Entity Framework (EF) which is an object-database mapper. It can automatically generate SQL queries from code written in C#. Some of these queries has started to display significant increase in query response time which require further examination. READ MORE
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5. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications
University essay from KTH/Numerisk analys, NAAbstract : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. READ MORE
