Essays about: "Non-Negative Matrix Factorization"
Showing result 1 - 5 of 11 essays containing the words Non-Negative Matrix Factorization.
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1. Evolving Community Detection in Dynamic Networks using Nonnegative Tensor Decomposition : An Approach Toward Green Networking
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Around 1.8–2.8% of the world’s total greenhouse gas emissions are contributed by the ICT sector, with telecommunications networks accounting for 26.4% of this total ICT share. READ MORE
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2. Dimensionality Reduction in High-Dimensional Profile Analysis Using Scores
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : Profile analysis is a multivariate statistical method for comparing the mean vectors for different groups. It consists of three tests, they are the tests for parallelism, level and flatness. The results from each test give information about the behaviour of the groups and the variables in the groups. READ MORE
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3. 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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4. Characterisation of a developer’s experience fields using topic modelling
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Finding the most relevant candidate for a position represents an ubiquitous challenge for organisations. It can also be arduous for a candidate to explain on a concise resume what they have experience with. READ MORE
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5. Exploring NMF and LDA Topic Models of Swedish News Articles
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The ability to automatically analyze and segment news articles by their content is a growing research field. This thesis explores the unsupervised machine learning method topic modeling applied on Swedish news articles for generating topics to describe and segment articles. READ MORE