Sökning: "adaptive data reduction"

Visar resultat 1 - 5 av 59 avhandlingar innehållade orden adaptive data reduction.

1. 1. Data-driven quality management using explainable machine learning and adaptive control limits

   Författare :Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

   Sammanfattning : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. LÄS MER

3. 2. Aspects on parameter estimation and data reduction in Doppler data

   Författare :Jonny Eriksson; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; adaptive data reduction; spatially correlated noise fields; estimation; Cramér-Rao bounds; weighted least squares; detection; parameterized signals;

   Sammanfattning : .... LÄS MER

4. 3. Towards Scalable Machine Learning with Privacy Protection

   Författare :Dominik Fay; Mikael Johansson; Tobias J. Oechtering; Jens Sjölund; Antti Honkela; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Privacy; Differential Privacy; Dimensionality Reduction; Image Segmentation; Hyperparameter Selection; Adaptive Optimization; Privacy Amplification; Importance Sampling; Maskininlärning; Dataskydd; Differentiell Integritet; Dimensionsreducering; Bildsegmentering; Hyperparameterurval; Adaptiv Optimering; Integritetsförstärkning; Importance Sampling; Datalogi; Computer Science; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : The increasing size and complexity of datasets have accelerated the development of machine learning models and exposed the need for more scalable solutions. This thesis explores challenges associated with large-scale machine learning under data privacy constraints. LÄS MER

5. 4. Scheduling of parallel matrix computations and data layout conversion for HPC and Multi-Core Architectures

   Författare :Lars Karlsson; Bo Kågström; Erik Elmroth; Charles Van Loan; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; data- och systemvetenskap; computer and systems sciences;

   Sammanfattning : Dense linear algebra represents fundamental building blocks in many computational science and engineering applications. The dense linear algebra algorithms must be numerically stable, robust, and reliable in order to be usable as black-box solvers by expert as well as non-expert users. LÄS MER

7. 5. On Detection and Estimation of Multiple Sources in Radar Array Processing

   Författare :Jonny Eriksson; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; spatially correlated noise; Cramer-Rao bounds; estimation; feature reduction; virtual uniform linear arrays; classification; adaptive data reduction; nonlinear weighted least squares; multiple targets; detection;

   Sammanfattning : This thesis deals with detection and estimation problems in sensor array signal processing. We treat the multiple hypothesis problem for complex sinusoids observed in spatially colored noise. LÄS MER