Decision tree-based estimation of the overlap of two probability distributions

03/04/2021
by   Hisashi Johno, et al.
0

A new nonparametric approach, based on a decision tree algorithm, is proposed to calculate the overlap between two probability distributions. The devised framework is described analytically and numerically. The convergence of the estimated overlap to the true value is proved along with some experimental results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/01/2018

Decision Tree Design for Classification in Crowdsourcing Systems

In this paper, we present a novel sequential paradigm for classification...
research
08/30/2021

Representation of binary classification trees with binary features by quantum circuits

We propose a quantum representation of binary classification trees with ...
research
11/03/2010

Soil Classification Using GATree

This paper details the application of a genetic programming framework fo...
research
12/22/2021

Recognising the overlap graphs of subtrees of restricted trees is hard

The overlap graphs of subtrees in a tree (SOGs) generalise many other gr...
research
01/19/2020

A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application

The aim of this work is to propose a meta-algorithm for automatic classi...
research
08/15/2012

Statistical Common Author Networks (SCAN)

A new method for visualizing the relatedness of scientific areas is deve...
research
08/08/2018

The roll call interpretation of the Shapley value

The Shapley value is commonly illustrated by roll call votes in which pl...

Please sign up or login with your details

Forgot password? Click here to reset