Essays about: "almström"
Showing result 1 - 5 of 14 essays containing the word almström.
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1. A dynamic approach to sorting with respect to big data
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study introduces a dynamic approach to sorting, making use of predictions and data gathered during run-time to optimize the sorting of the current data set. This approach is used to develop a sorting algorithm called DynamicSort which partitions data and calculates a partial standard deviation for each partition to determine which of two sorting algorithms should be used to sort the partition. READ MORE
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2. Getting past equity - CEO compensation among unlisted SMEs
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This thesis analyses how CEO cash compensation in unlisted Small and Medium Enterprises (SMEs) varies with firm performance, and how this compares to large and listed firms, using a series of first difference regression analyses. It uses the results to comment on how constrained access to equity compensation affects CEO pay-for-performance. READ MORE
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3. Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators
University essay from Lunds universitet/Matematisk statistikAbstract : Voice impersonation is a technique that has often been used by criminals whose goal is to avoid being identified while committing a crime. There are, however, other interesting cases where the police confronts a suspect with an incriminating recording, and the suspect would deny being the true speaker in that recording, and claim that it belonged to an expert impersonator. READ MORE
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4. Optimizing Weighting Factors for Multiple Window Spectrum Estimates
University essay from Lunds universitet/Matematisk statistikAbstract : Spectral estimation can be done using different techniques, where averaging the periodogram using multiple windows is one of the techniques. When using multiple windows, the spectral estimate is commonly obtained by having the windows for the subspectra equally weighted. READ MORE
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5. Persistence of Preference- Based Customer Segments : An investigation of cluster evolution
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Clustering is a technology within unsupervised learning with a wide range of applications. Several of these applications use data that change over time, which makes clusters’ persistence of interest. One among these employments of clustering time-variant data is preference based customer segmentation. READ MORE