Sökning: "Statistical model"

Visar resultat 11 - 15 av 1227 avhandlingar innehållade orden Statistical model.

1. 11. Statistical Compression Cache Designs

   Författare :Angelos Arelakis; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cache; Floating-point compression; Data Compression; Huffman Coding; Statistical Compression; Value Locality; Memory; Hybrid Compression;

   Sammanfattning : On-chip caches are essential as they bridge the growing speed-gap between off-chip memory and processors. To this end, processing cores are sacrificed for more cache space in the chip's real estate, possibly affecting the cache access time and power dissipation. LÄS MER

3. 12. Generalization under Model Mismatch and Distributed Learning

   Författare :Martin Hellkvist; Ayca Özcelikkale; Anders Ahlén; Martin Jaggi; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Signal processing; Generalization error; Training error; Double-descent; Double descent; Distributed learning; Distributed optimization; Learning over networks; Model mismatch; Model misspecification; Fake features; Missing features; linear regression; regularization; Machine learning; Maskininlärning;

   Sammanfattning : Machine learning models are typically configured by minimizing the training error over a given training dataset. On the other hand, the main objective is to obtain models that can generalize, i.e., perform well on data unseen during training. LÄS MER

4. 13. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics

   Författare :Martin Eklund; Jarl Wikberg; Ron Wehrens; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; high-throughout biology; eScience; model selection; model assessment; Bioinformatics; Bioinformatik;

   Sammanfattning : High-throughput experimental methods, such as DNA and protein microarrays, have become ubiquitous and indispensable tools in biology and biomedicine, and the number of high-throughput technologies is constantly increasing. They provide the power to measure thousands of properties of a biological system in a single experiment and have the potential to revolutionize our understanding of biology and medicine. LÄS MER

5. 14. Efficient Image Retrieval with Statistical Color Descriptors

   Författare :Linh Viet Tran; Reiner Lenz; Björn Kruse; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; color properties; images; statistical; content-based image retrieval CBIR ; non-parametric density estimators; image database; Kernel; Gram-Schmidt; geometry-based; Information technology; Informationsteknologi;

   Sammanfattning : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. LÄS MER

7. 15. Statistical modeling in international large-scale assessments

   Författare :Inga Laukaityte; Marie Wiberg; Kenny Bränberg; Ewa Rolfsman; Bernard Veldkamp; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; multilevel model; plausible values; sampling weights; missing information; multiple imputation; non-monotone missing pattern; TIMSS; PISA; Statistics; statistik; pedagogik; Education;

   Sammanfattning : This thesis contributes to the area of research based on large-scale educational assessments, focusing on the application of multilevel models. The role of sampling weights, plausible values (response variable imputed multiple times) and imputation methods are demonstrated by simulations and applications to TIMSS (Trends in International Mathematics and Science Study) and PISA (Programme for International Student Assessment) data. LÄS MER