Sökning: "feature selection"
Visar resultat 11 - 15 av 116 avhandlingar innehållade orden feature selection.
11. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods
Sammanfattning : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. LÄS MER
12. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development
Sammanfattning : As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. LÄS MER
13. Machine Learning Techniques with Specific Application to the Early Olfactory System
Sammanfattning : This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. LÄS MER
14. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER
15. Two papers on car fleet modeling
Sammanfattning : .... LÄS MER