
Stable graphs of bounded twinwidth
We prove that every class of graphs 𝒞 that is monadically stable and has...
read it

A Reduction from Unbounded Linear Mixed Arithmetic Problems into Bounded Problems
We present a combination of the MixedEchelonHermite transformation and...
read it

A tight lower bound for the online bounded space hypercube bin packing problem
In the ddimensional hypercube bin packing problem, a given list of ddi...
read it

A Linear Reduction Method for Local Differential Privacy and Loglift
This paper considers the problem of publishing data X while protecting c...
read it

Uniform Deviation Bounds for Unbounded Loss Functions like kMeans
Uniform deviation bounds limit the difference between a model's expected...
read it

OneClass SemiSupervised Learning: Detecting Linearly Separable Class by its Mean
In this paper, we presented a novel semisupervised oneclass classifica...
read it

Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System
This paper investigates the influences of standard numerical discretizat...
read it
Linearity of Data and Linear Probability Space
Some data is linearly additive, other data is not. In this paper, I discuss types of data based on the boundedness of the data and their linearity. 1) Unbounded data can be linear. 2) Oneside bounded data is usually log transformed to be linear. 3) Twoside bounded data is not linear. 4) Untidy data do not fit in these categories. An example of twosided bounded data is probabilities which should be transformed into a linear probability space by taking the logarithm of the odds ratio (log10 odds) which is termed Weight (W). Calculations of means and standard deviation is more accurate when calculated as W values than when calculated as probabilities. A methods to analyze untidy data is discussed.
READ FULL TEXT
Comments
There are no comments yet.