Essays about: "Hierarchical Temporal Memory"
Showing result 1 - 5 of 11 essays containing the words Hierarchical Temporal Memory.
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1. Unsupervised Online Anomaly Detection in Multivariate Time-Series
University essay from Uppsala universitet/DatorteknikAbstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE
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2. Unsupervised anomaly detection in time series with recurrent neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). READ MORE
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3. Unsupervised anomaly detection on log-based time series data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to a constant increase in the number of connected devices and there is an increased demand for confidentiality, availability, and integrity on applications. This thesis was focused on unsupervised anomaly detection in data centers. READ MORE
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4. Unsupervised real-time anomaly detection on streaming data for large-scale application deployments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Anomaly detection is the classification of data points that do not adhere to the familiar pattern; in previous studies there existed a need for extensive human interactions with either labelling or sorting normal and abnormal data from one another. In this thesis, we want to go one step further and apply machine learning techniques on time-series data in order to have a deeper understanding of the properties of a given data point without any sorting and labelling. READ MORE
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5. Hierarchical Temporal Memory Software Agent : In the light of general artificial intelligence criteria
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Artificial general intelligence is not well defined, but attempts such as the recent listof “Ingredients for building machines that think and learn like humans” are a startingpoint for building a system considered as such [1]. Numenta is attempting to lead thenew era of machine intelligence with their research to re-engineer principles of theneocortex. READ MORE
