Sökning: "Complex LASSO"

Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Complex LASSO.

1. 1. Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis

   Författare :Ashkan Panahi; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; compressed sensing; linear regression; spatial sparsity; convex variational optimization; DOA estimation; continuous LASSO; Complex LASSO;

   Sammanfattning : The idea of representing a signal in a classical computing machine has played a central role in the field of signal processing. The last two decades have witnessed an important breakthrough in this by taking all possible linear transforms and domains into account. LÄS MER

3. 2. Exploring the Boundaries of Gene Regulatory Network Inference

   Författare :Andreas Tjärnberg; Erik Sonnhammer; Richard Bonneau; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; GRN; gene regulatory network; network inference; signal to noise ratio; model selection; variable selection; data properties; reverse engineering; ordinary differential equations; gene networks; linear regression; lasso; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : To understand how the components of a complex system like the biological cell interact and regulate each other, we need to collect data for how the components respond to system perturbations. Such data can then be used to solve the inverse problem of inferring a network that describes how the pieces influence each other. LÄS MER

4. 3. Large-scale topology, stability and biology of gene networks

   Författare :Mika Gustafsson; Linköpings universitet; []
   Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

   Sammanfattning : Experimental innovations in cell biology have provided a huge amount of genomescale data sets, settling the stage for understanding organisms on a system level. Recently, complex networks have been widely adopted and serve as a unifying language for widely different systems, including social, technological and biological systems. LÄS MER

5. 4. Novel statistical methods for genome-wide association summary statistics

   Författare :Zheng Ning; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : A general objective of genetic studies is to understand the genetic basis of complex traits such as height, body mass index (BMI), disease endpoints, etc. Such researches have been facilitated due to the completion of the human genome project and developments of high-throughput technologies. LÄS MER

7. 5. Asymptotic Analysis of Machine Learning Models: Comparison Theorems and Universality

   Författare :David Bosch; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; CGMT; Machine Learning; convex gaussian min max theorem; Asymptotic; universality;

   Sammanfattning : The study of Machine Learning models in asymptotic regimes, has provided insight into many of the properties of ML models, but seemingly contradicts classical statistical wisdom. To solve this mystery, this thesis focuses on the analysis of models such as the LASSO and Random features regression, when the data points and model parameters grow infinite at constant ratios. LÄS MER