Sökning: "lasso"
Visar resultat 1 - 5 av 28 avhandlingar innehållade ordet lasso.
1. Lasso Regularized Neural Networks
Sammanfattning : .... LÄS MER
2. Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
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. Factor-Augmented Forecasting for High-Dimensional Data
Sammanfattning : In this thesis, we take a critical look at the factor-augmented forecast models, when a large number of time series variables available can provide the vital information for prediction. We discuss how to describe the commonality and idiosyncrasy of high-dimensional data by a handful of factors in various levels, and how to improve the predictive performance using these factors as augmented predictors. LÄS MER
4. Exploring the Boundaries of Gene Regulatory Network Inference
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
5. Regularization for Sparseness and Smoothness : Applications in System Identification and Signal Processing
Sammanfattning : In system identification, the Akaike Information Criterion (AIC) is a well known method to balance the model fit against model complexity. Regularization here acts as a price on model complexity. LÄS MER