Sökning: "statistical classification"

Visar resultat 1 - 5 av 144 avhandlingar innehållade orden statistical classification.

1. 1. Statistical Methods for Taxon Classification and Bird Migration Phenology

   Författare :Måns Karlsson; Ola Hössjer; Jonas Knape; Benjamin Bolker; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Classification; quantile regression; phenology; statistical ornithology; L-functionals; set-valued classification; species identification; statistical ecology; multispecies modelling; matematisk statistik; Mathematical Statistics;

   Sammanfattning : The connection between ecology and statistics is deep. Methodological advancement in statistics open up new possibilities to understand the distribution of life on earth, and research questions in ecology cause new statistical methods to be developed. LÄS MER

3. 2. Statistical Feature Selection : With Applications in Life Science

   Författare :Roland Nilsson; Jesper Tegnér; Johan Björkegren; Sepp Hochreiter; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; Bioinformatics; Bioinformatik;

   Sammanfattning : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. LÄS MER

4. 3. Statistical inference and time-frequency estimation for non-stationary signal classification

   Författare :Rachele Anderson; Statistical Signal Processing Group; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Non-stationary processes; stochastic modeling; inference; spectral analysis; time-frequency analysis; classification; biomedical applications; deep learning;

   Sammanfattning : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. LÄS MER

5. 4. Characterization and Classification of Internet Backbone Traffic

   Författare :Wolfgang John; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Characterization; Measurement; Backbone; Internet; Classification; Traffic; Passive;

   Sammanfattning : We contribute to an improved understanding of Internet traffic characteristics by measuring and analyzing modern Internet backbone data. We start the thesis with an overview of several important considerations for passive Internet traffic collection on large-scale network links. LÄS MER

7. 5. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

   Författare :Ted Kronvall; Statistical Signal Processing Group; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

   Sammanfattning : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. LÄS MER