Sökning: "genetic code"
Visar resultat 1 - 5 av 73 avhandlingar innehållade orden genetic code.
1. Dynamics and Performance of a Linear Genetic Programming System
Sammanfattning : Genetic Programming (“GP”) is a machine learning algorithm. Typically, Genetic Programming is a supervised learning algorithm, which trains on labeled training examplesprovided by the user. The solution output by GP maps known attributes to the known labels. LÄS MER
2. Input Calibration, Code Validation and Surrogate Model Development for Analysis of Two-phase Circulation Instability and Core Relocation Phenomena
Sammanfattning : Code validation and uncertainty quantification are important tasks in nuclear reactor safety analysis. Code users have to deal with large number of uncertain parameters, complex multi-physics, multi-dimensional and multi-scale phenomena. LÄS MER
3. Incremental Clustering of Source Code : a Machine Learning Approach
Sammanfattning : Technical debt at the architectural level is a severe threat to software development projects. Uncontrolled technical debt that is allowed to accumulate will undoubtedly hinder speedy development and maintenance, introduce bugs and problems in the software product, and may ultimately result in the abandonment of the source code. LÄS MER
4. Genetic investigations of four neurological disorders : From phenotype to mutation
Sammanfattning : More than 5000, more or less rare, genetic diseases are known in man. A genetic disease is in most casesinherited from one generation to the next, and is caused by a change in the genetic code, a mutation. LÄS MER
5. Integrated Software Pipelining
Sammanfattning : In this thesis we address the problem of integrated software pipelining for clustered VLIW architectures. The phases that are integrated and solved as one combined problem are: cluster assignment, instruction selection, scheduling, register allocation and spilling. LÄS MER