نتایج جستجو برای: random survival forest

تعداد نتایج: 698415  

Journal: :Combinatorics, Probability & Computing 2004
Hans Garmo Svante Janson Michal Karonski

We consider a random generalized railway defined as a random 3-regular multigraph where some vertices are regarded as switches not allowing traffic between any pair of attached edges. It is shown that the probability that the generalized railway is functioning is linear in the proportion of switches. Thus there is no threshold phenomenon for this property.

2016
Marcos Zampieri Liling Tan Josef van Genabith

This paper presents the MacSaar system developed to identify complex words in English texts. MacSaar participated in the SemEval 2016 task 11: Complex Word Identification submitting two runs. The system is based on the assumption that complex words are likely to be less frequent and on average longer than words considered to be simple. We report results of 82.5% accuracy and 27% F-Score using a...

Journal: :Int. J. Applied Earth Observation and Geoinformation 2012
Lien Loosvelt Jan Peters Henning Skriver Hans Lievens Frieke Van Coillie Bernard De Baets Niko E. C. Verhoest

Journal: :Neurocomputing 2010
Gregor Stiglic Juan José Rodríguez Diez Peter Kokol

The classification of genomic and proteomic data in extremely high dimensional datasets is a wellknown problem which requires appropriate classification techniques. Classification methods are usually combined with gene selection techniques to provide optimal classification conditions—i.e. a lower dimensional classification environment. Another reason for reducing the dimensionality of such data...

2010
Luc Devroye Omar Fawzi Nicolas Fraiman

We study depth properties of a general class of random recursive trees where each node n attaches to the random node !nXn" and X0, . . . , Xn is a sequence of i.i.d. random variables taking values in [0, 1). We call such trees scaled attachment random recursive trees (SARRT). We prove that the height Hn of a SARRT is asymptotically given by Hn ∼ αmax log n where αmax is a constant depending onl...

2014
Sophie Bade

Fix a Pareto optimal, strategy proof and non-bossy deterministic matching mechanism and define a random matching mechanism by assigning agents to the roles in the mechanism via a uniform lottery. Given a profile of preferences, the lottery over outcomes that arises under the random matching mechanism is identical to the lottery that arises under random serial dictatorship, where the order of di...

2011
Victoria L. Fishlock Victoria Louise Fishlock

............................................................................................................................ ii Acknowledgements .......................................................................................................... v Table of

Journal: :Combinatorics, Probability & Computing 2012
Michael Fuchs

Simple families of increasing trees have been introduced by Bergeron, Flajolet and Salvy. They include random binary search trees, random recursive trees and random plane-oriented recursive trees (PORTs) as important special cases. In this paper, we investigate the number of subtrees of size k on the fringe of some classes of increasing trees, namely generalized PORTs and d-ary increasing trees...

2013
Florian Baumann

In this paper a simple and efficient framework for single human action recognition is proposed. In two parallel processing streams, motion information and static object appearances are gathered by introducing a frame-by-frame learning approach. For each processing stream a Random Forest classifier is separately learned. The final decision is determined by combining both probability functions. T...

2008
Myungsook Klassen Matt Cummings Griselda Saldaña-González

The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatment with it. Due to several inherent characteristics associated with microarray data, accurate diagnosis has been an active research topic attracting tremendous research interests in machine learning community. In this p...

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