Trees response to selective thinning and pruning in Sudanian woodland zone

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees

Rademacher penalization is a modern technique for obtaining data-dependent bounds on the generalization error of classifiers. It appears to be limited to relatively simple hypothesis classes because of computational complexity issues. In this paper we, nevertheless, apply Rademacher penalization to the in practice important hypothesis class of unrestricted decision trees by considering the prun...

Use-value and importance of socio-cultural knowledge on Carapa procera trees in the Sudanian zone in Mali

BACKGROUND Carapa procera is a native oil tree species with multipurpose values traditionally exploited by the local population in Southern Mali. This study focused on the assessment of local knowledge about the use of Carapa procera. METHODS Semi-structured ethnobotanical questionnaires were conducted among the ethnic groups Senufo, Fulani and Bambara in two localities in the Sudanian zone i...

Pruning Decision Trees and Lists

Machine learning algorithms are techniques that automatically build models describing the structure at the heart of a set of data. Ideally, such models can be used to predict properties of future data points and people can use them to analyze the domain from which the data originates. Decision trees and lists are potentially powerful predictors and embody an explicit representation of the struc...

Pruning Decision Trees and Lists

Ecological Studies in the Tension Zone between Prairie and Woodland

Upon the completion of a series of investigations in southeastern Washington and adjacent Idaho (23), in which there was found to be a direct relation between the available water content of the soil and the evaporating power of the air as succession progressed from gl'assland through scrub to forest, the senior writer moved to Minneapolis, Minnesota. Here such excellent conditions of prairie in...