Sökning: "Tree Induction"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Tree Induction.
1. Applications of Knowledge Discovery in Quality Registries - Predicting Recurrence of Breast Cancer and Analyzing Non-compliance with a Clinical Guideline
Sammanfattning : In medicine, data are produced from different sources and continuously stored in data depositories. Examples of these growing databases are quality registries. In Sweden, there are many cancer registries where data on cancer patients are gathered and recorded and are used mainly for reporting survival analyses to high level health authorities. LÄS MER
2. Trial of labour after caesarean
Sammanfattning : Background: Induction of labour and caesarean delivery are common interventions in obstetric care and over the last decades both have been steadily increasing in frequency worldwide. The two interventions are concatenated, since many of the indications for either intervention often are the same, and approximately 20-40% of all inductions in first time mothers ends with a caesarean delivery. LÄS MER
3. Conifer chemical defense : Rugulation of bark beetle colonization and pheromone emission
Sammanfattning : Terpenes and phenols are of importance in conifer defense against insects and pathogens. Knowledge about tree chemical defense is vital for developing practical methods to maintain healthy forests. LÄS MER
4. Gene finding in Populus- The Bioinformatics of a EST program
Sammanfattning : During the course of the work described in this thesis, ESTsequencing project was initiated in woody plant poplar forlarge scale gene discovery in a tree specie. Since most of thetree genomes are considerably large in size, EST sequencing wasconsidered to be a cost effective method for gene discovery. LÄS MER
5. Learning Decision Trees and Random Forests from Histogram Data : An application to component failure prediction for heavy duty trucks
Sammanfattning : A large volume of data has become commonplace in many domains these days. Machine learning algorithms can be trained to look for any useful hidden patterns in such data. Sometimes, these big data might need to be summarized to make them into a manageable size, for example by using histograms, for various reasons. LÄS MER