Sökning: "genetic programming."
Visar resultat 1 - 5 av 57 avhandlingar innehållade orden genetic programming..
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. Enhancing genetic programming for predictive modeling
Sammanfattning : See separate file, "Abstract.png"... LÄS MER
3. Using genetic programming to systematically force software diversity
Sammanfattning : .... LÄS MER
4. 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
5. Pointwise and Genomewide Significance Calculations in Gene Mapping through Nonparametric Linkage Analysis: Theory, Algorithms and Applications
Sammanfattning : In linkage analysis or, in a wider sense, gene mapping one searches for disease loci along a genome. This is done by observing so called marker genotypes (alleles) and phenotypes (affecteds/unaffecteds) of a pedigree set, i.e. LÄS MER