one of the most visible aspects of a forest stand structure is the spatial patterns of trees. competition affects on forest structure and its understanding is important, when the purpose of forest management is to imitate the dynamic of natural ecosystems. for this purpose, an unmanaged intact forest was selected with 26 hectares area. all chestnut leaf oak (quercus castaneifolia) trees with a ...

Recursive partitioning is the core of several statistical methods including Classification and Regression Trees, Random Forest, and AdaBoost. Despite the popularity of tree based methods, to date, there did not exist methods for combining multiple trees into a single tree, or methods for systematically quantifying the discrepancy between two trees. Taking advantage of the recursive structure in...

If sample realizations are intervals, if the upper and the lower boundaries of such intervals are realizations of two independently distributed random variables, the two probability laws together lead to some interesting assertions. In this article, we shall attempt to remove certain confusions regarding the relationship between probability theory and fuzzy mathematics.

We once had a corp, or should we say, it once hadus They showed us its tags, isn’t it great,unifiedtags They asked us to parse and they told us to useeverything So we looked around and we noticed there was nearnothing We took other langs, bitext aligned: words one-to-one We played for two weeks, and then they said, here is the test The parser kept training till morning,

This article describes our approach for the Author Identification task introduced in PAN 2015. Given a set of documents written by the same author and a questioned document with an unknown author, the task is to decide whether the questioned document was written by the same author as the other documents or not. Our approach uses Random Forest and a feature-encoding scheme based on the Universal...

We propose a fuzzy random survival forest (FRSF) to model lapse rates in life insurance portfolio containing imprecise or incomplete data such as missing, outlier, noisy values. Following the methodology, FRSF is proposed new machine learning technique for solving time-to-event using an ensemble of multiple trees. In process, combination methods c-index, sets theory, and trees enable automatic ...

Marriage data show a strong degree of positive assortative mating along a variety of attributes. But since marriage is an equilibrium outcome, it is unclear whether positive sorting is the result of preferences rather than opportunities. We assess the relative importance of preferences and opportunities in dating behaviour, using unique data from a large commercial speed dating agency. While th...

In this paper, we present a novel extension of a forest-to-string machine translation system with a reordering model. We predict reordering probabilities for every pair of source words with a model using features observed from the input parse forest. Our approach naturally deals with the ambiguity present in the input parse forest, but, at the same time, takes into account only the parts of the...

In the last years of his life, Leo Breiman promoted random forests for use in classification. He suggested using averaging as a means of obtaining good discrimination rules. The base classifiers used for averaging are simple and randomized, often based on random samples from the data. He left a few questions unanswered regarding the consistency of such rules. In this paper, we give a number of ...