Essays about: "fisher information"
Showing result 1 - 5 of 27 essays containing the words fisher information.
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1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE
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2. IFRS Impact on Swedish Companies
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : This thesis aims to investigate whether the implementation of IFRS has affected the accounting quality in Swedish companies. The results of this study is analyzed through the theory of information asymmetry and previous empirical studies. READ MORE
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3. Hybrid Variational Autoencoder for Clustering of Single-Cell RNA-seq Data : Introducing HybridVI, a Variational Autoencoder with two Latent Spaces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Single-cell analysis means to analyze cells on an individual level. This individual analysis enhances the investigation of the heterogeneity among and the classification of individual cells. Single-cell analysis is a broad term and can include various measurements. READ MORE
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4. Predicting Revenue with Price Indices for Baskets of Spare Parts using Machine Learning
University essay from KTH/Matematisk statistikAbstract : Companies in the spare part industry can implement a variety of different pricing techniques, which have traditionally been done through personnel know-how and industry conventions. One such technique is the use of price indices to track sales performance. READ MORE
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5. Avoiding Catastrophic Forgetting in Continual Learning through Elastic Weight Consolidation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Image classification is an area of computer science with many areas of application. One key issue with using Artificial Neural Networks (ANN) for image classification is the phenomenon of Catastrophic Forgetting when training tasks sequentially (i.e Continual Learning). READ MORE