Essays about: "dirichlet process"
Showing result 6 - 10 of 22 essays containing the words dirichlet process.
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6. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals
University essay from KTH/Matematisk statistikAbstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE
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7. Approximating Quasistationary Distributions Using Deep Learning
University essay from KTH/Matematisk statistikAbstract : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). READ MORE
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8. A Confirmatory Analysis for Automating the Evaluation of Motivation Letters to Emulate Human Judgment
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Manually reading, evaluating, and scoring motivation letters as part of the admissions process is a time-consuming and tedious task for Dalarna University's program managers. An automated scoring system would provide them with relief as well as the ability to make much faster decisions when selecting applicants for admission. READ MORE
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9. Topic propagation over time in internet security conferences : Topic modeling as a tool to investigate trends for future research
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : When conducting research, it is valuable to find high-ranked papers closely related to the specific research area, without spending too much time reading insignificant papers. To make this process more effective an automated process to extract topics from documents would be useful, and this is possible using topic modeling. READ MORE
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10. Automated Bug Classification. : Bug Report Routing
University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Filosofiska fakultetenAbstract : With the growing software technologies companies tend to develop automated solutions to save time and money. Automated solutions have seen tremendous growth in the software industry and have benefited from extensive machine learning research. READ MORE