Essays about: "hierarchical classification"
Showing result 21 - 25 of 50 essays containing the words hierarchical classification.
-
21. Hierarchical text classification of fiction books : With Thema subject categories
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : Categorizing books and literature of any genre and subject area is a vital task for publishers which seek to distribute their books to the appropriate audiences. It is common that different countries use different subject categorization schemes, which makes international book trading more difficult due to the need to categorize books from scratch once they reach another country. READ MORE
-
22. MLSurf : Surfer Motion Characterization Using Machine Learning Techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Wave surfing is a popular sport that requires minimal financial investment, while it can still be enjoyable from the very first attempt. At the same time, the demand for smart devices that enhance the experience of doing sports by analyzing and evaluating the activities is growing. READ MORE
-
23. Introducing a Hierarchical Attention Transformer for document embeddings : Utilizing state-of-the-art word embeddings to generate numerical representations of text documents for classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Natural Language Processing has produced a plethora of algorithms for creating numerical representations of words or subsets thereof. These representations encode the semantics of each unit which for word level tasks enable immediate utilization. READ MORE
-
24. An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount of polymorphic malware. READ MORE
-
25. 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
