Essays about: "Stacked Autoencoder"
Showing result 1 - 5 of 6 essays containing the words Stacked Autoencoder.
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1. Unsupervised Anomaly Detection and Explainability for Ladok Logs
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Anomaly detection is the process of finding outliers in data. This report will explore the use of unsupervised machine learning for anomaly detection as well as the importance of explaining the decision making of the model. READ MORE
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2. A Recommender System for Suggested Sites using Multi-Armed Bandits : Initialising Bandit Contexts by Neural Collaborative Filtering
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The abundance of information available on the internet necessitates means of quickly finding what is relevant for the individual user. To this end, there has been much research concerning recommender systems and lately specifically methods using deep learning for such systems. READ MORE
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3. Compressed Machine Learning on Time Series Data
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The extent of time related data across many fields has led to substantial interest in the analysis of time series. This interest meets growing challenges to store and process data. While the data is collected at an exponential rate, advancements in processing units are slowing down. READ MORE
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4. Automatic Generation of Descriptive Features for Predicting Vehicle Faults
University essay from Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)Abstract : Predictive Maintenance (PM) has been increasingly adopted in the Automotive industry, in the recent decades along with conventional approaches such as the Preventive Maintenance and Diagnostic/Corrective Maintenance, since it provides many advantages to estimate the failure before the actual occurrence proactively, and also being adaptive to the present status of the vehicle, in turn allowing flexible maintenance schedules for efficient repair or replacing of faulty components. PM necessitates the storage and analysis of large amounts of sensor data. READ MORE
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5. Fraud Detection on Unlabeled Data with Unsupervised Machine Learning
University essay from KTH/Hälsoinformatik och logistikAbstract : A common problem in systems handling user interaction was the risk for fraudulent behaviour. As an example, in a system with credit card transactions it could have been a person using a another user's account for purchases, or in a system with advertisment it could be bots clicking on ads. READ MORE