Essays about: "word embeddings"
Showing result 11 - 15 of 86 essays containing the words word embeddings.
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11. Will Svenska Akademiens Ordlista Improve Swedish Word Embeddings?
University essay from Uppsala universitet/Statistiska institutionenAbstract : Unsupervised word embedding methods are frequently used for natural language processing applications. However, the unsupervised methods overlook known lexical relations that can be of value to capture accurate semantic word relations. This thesis aims to explore if Swedish word embeddings can benefit from prior known linguistic information. READ MORE
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12. Cooperative security log analysis using machine learning : Analyzing different approaches to log featurization and classification
University essay from Linköpings universitet/Databas och informationsteknikAbstract : This thesis evaluates the performance of different machine learning approaches to log classification based on a dataset derived from simulating intrusive behavior towards an enterprise web application. The first experiment consists of performing attacks towards the web app in correlation with the logs to create a labeled dataset. READ MORE
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13. AUTOMATED ACCOUNTING USING MACHINE MACHINE LEARNING
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The advancements in machine learning and artificial intelligence have touched all the traditional professions. Accountancy is changing and developing as a result of technology and it’s giving rise to a new domain called Accounting Engineering. READ MORE
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14. Discover patterns within train log data using unsupervised learning and network analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of information technology in recent years, log analysis has gradually become a hot research topic. However, manual log analysis requires specialized knowledge and is a time-consuming task. Therefore, more and more researchers are searching for ways to automate log analysis. READ MORE
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15. Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings using a Joint Loss Function
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent studies show that the spatial distribution of the sentence representations generated from pre-trained language models is highly anisotropic, meaning that the representations are not uniformly distributed among the directions of the embedding space. Thus, the expressiveness of the embedding space is limited, as the embeddings are less distinguishable and less diverse. READ MORE